brand_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Brand Analysis\n",
    "\n",
    "In this jupyter notebook the idea is to analyze how the brands behave in time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "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>country_region</th>\n",
       "      <th>office_department_city</th>\n",
       "      <th>description</th>\n",
       "      <th>warehouse_city</th>\n",
       "      <th>category_name</th>\n",
       "      <th>brand_id</th>\n",
       "      <th>price_type</th>\n",
       "      <th>product_id</th>\n",
       "      <th>plant</th>\n",
       "      <th>client_id</th>\n",
       "      <th>flavor_name</th>\n",
       "      <th>client_name</th>\n",
       "      <th>point_of_sale_name</th>\n",
       "      <th>distributor</th>\n",
       "      <th>date</th>\n",
       "      <th>units</th>\n",
       "      <th>devolution_units</th>\n",
       "      <th>sale_amount</th>\n",
       "      <th>sale_discount</th>\n",
       "      <th>sale_devolution</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Sur</td>\n",
       "      <td>Cali</td>\n",
       "      <td>TULUA</td>\n",
       "      <td>TULUA</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>M01</td>\n",
       "      <td>OFERTADO</td>\n",
       "      <td>53407164</td>\n",
       "      <td>P1</td>\n",
       "      <td>16359356</td>\n",
       "      <td>TRADICIONAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tiendas</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>324</td>\n",
       "      <td>0</td>\n",
       "      <td>181,530.00</td>\n",
       "      <td>-32,675.40</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sur</td>\n",
       "      <td>Nariño</td>\n",
       "      <td>POPAYAN</td>\n",
       "      <td>POPAYAN</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>M01</td>\n",
       "      <td>OFERTADO</td>\n",
       "      <td>53407164</td>\n",
       "      <td>P1</td>\n",
       "      <td>16839877</td>\n",
       "      <td>TRADICIONAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tiendas</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>20,170.00</td>\n",
       "      <td>-4,437.40</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sur</td>\n",
       "      <td>Nariño</td>\n",
       "      <td>POPAYAN</td>\n",
       "      <td>POPAYAN</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>M01</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>53102174</td>\n",
       "      <td>P1</td>\n",
       "      <td>16839877</td>\n",
       "      <td>TRADICIONAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tiendas</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>73200</td>\n",
       "      <td>0</td>\n",
       "      <td>91,227.00</td>\n",
       "      <td>-20,069.98</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Sur</td>\n",
       "      <td>Cali</td>\n",
       "      <td>AGUABLANCA - CALI</td>\n",
       "      <td>SUR</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>M01</td>\n",
       "      <td>OFERTADO</td>\n",
       "      <td>53408215</td>\n",
       "      <td>P1</td>\n",
       "      <td>94456173</td>\n",
       "      <td>TRADICIONAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tiendas</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>1080</td>\n",
       "      <td>0</td>\n",
       "      <td>605,100.00</td>\n",
       "      <td>-108,918.43</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sur</td>\n",
       "      <td>Cali</td>\n",
       "      <td>AUTOSERVICIOS CALI</td>\n",
       "      <td>NORTE</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>M01</td>\n",
       "      <td>OFERTADO</td>\n",
       "      <td>53408024</td>\n",
       "      <td>P1</td>\n",
       "      <td>8050279707</td>\n",
       "      <td>TRADICIONAL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Superficies Menores</td>\n",
       "      <td>2014-04-01</td>\n",
       "      <td>100</td>\n",
       "      <td>40</td>\n",
       "      <td>73,280.00</td>\n",
       "      <td>-10,992.00</td>\n",
       "      <td>-29,312.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  country_region office_department_city         description warehouse_city  \\\n",
       "0            Sur                   Cali               TULUA          TULUA   \n",
       "1            Sur                 Nariño             POPAYAN        POPAYAN   \n",
       "2            Sur                 Nariño             POPAYAN        POPAYAN   \n",
       "3            Sur                   Cali   AGUABLANCA - CALI            SUR   \n",
       "4            Sur                   Cali  AUTOSERVICIOS CALI          NORTE   \n",
       "\n",
       "           category_name brand_id price_type  product_id plant   client_id  \\\n",
       "0  Producto de Extrusion      M01   OFERTADO    53407164    P1    16359356   \n",
       "1  Producto de Extrusion      M01   OFERTADO    53407164    P1    16839877   \n",
       "2  Producto de Extrusion      M01    REGULAR    53102174    P1    16839877   \n",
       "3  Producto de Extrusion      M01   OFERTADO    53408215    P1    94456173   \n",
       "4  Producto de Extrusion      M01   OFERTADO    53408024    P1  8050279707   \n",
       "\n",
       "   flavor_name client_name point_of_sale_name          distributor       date  \\\n",
       "0  TRADICIONAL         NaN                NaN              Tiendas 2014-04-01   \n",
       "1  TRADICIONAL         NaN                NaN              Tiendas 2014-04-01   \n",
       "2  TRADICIONAL         NaN                NaN              Tiendas 2014-04-01   \n",
       "3  TRADICIONAL         NaN                NaN              Tiendas 2014-04-01   \n",
       "4  TRADICIONAL         NaN                NaN  Superficies Menores 2014-04-01   \n",
       "\n",
       "   units  devolution_units sale_amount sale_discount sale_devolution  \n",
       "0    324                 0  181,530.00    -32,675.40               0  \n",
       "1     36                 0   20,170.00     -4,437.40               0  \n",
       "2  73200                 0   91,227.00    -20,069.98               0  \n",
       "3   1080                 0  605,100.00   -108,918.43               0  \n",
       "4    100                40   73,280.00    -10,992.00      -29,312.00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dateparse = lambda x: pd.datetime.strptime(x, '%d/%m/%Y')\n",
    "\n",
    "snacks_df = pd.read_csv('./datasets/clean_snacks.csv', dtype={ 'client_id': str }, parse_dates=['date'], date_parser=dateparse)\n",
    "snacks_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding fields that can be useful later"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "snacks_df['month'] = snacks_df['date'].map(lambda x: x.month)\n",
    "snacks_df['year'] = snacks_df['date'].map(lambda x: x.year)\n",
    "snacks_df['yyyymm'] = snacks_df['date'].map(lambda x: x.strftime('%Y%m'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the top 5 brands that produced more sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x14bc55d30>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_brands = snacks_df.groupby('brand_id')['units'].sum().reset_index(name='units').sort_values('units', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='brand_id', y='units', data=group_brands.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>brand_id</th>\n",
       "      <th>category_name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M01</td>\n",
       "      <td>Multiproductos</td>\n",
       "      <td>128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M01</td>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>146156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M07</td>\n",
       "      <td>Producto a base de Tuberculo</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M07</td>\n",
       "      <td>Producto en Frituras</td>\n",
       "      <td>292878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M24</td>\n",
       "      <td>Platanos a base de Harina</td>\n",
       "      <td>41657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M27</td>\n",
       "      <td>Otros</td>\n",
       "      <td>70720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Otras</td>\n",
       "      <td>Combinaciones Individuales</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Otras</td>\n",
       "      <td>Platanos a base de Harina</td>\n",
       "      <td>8204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Otras</td>\n",
       "      <td>Producto de Horno</td>\n",
       "      <td>9165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Otras</td>\n",
       "      <td>Producto en Frituras</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  brand_id                 category_name   count\n",
       "0      M01                Multiproductos     128\n",
       "1      M01         Producto de Extrusion  146156\n",
       "2      M07  Producto a base de Tuberculo      25\n",
       "3      M07          Producto en Frituras  292878\n",
       "4      M24     Platanos a base de Harina   41657\n",
       "5      M27                         Otros   70720\n",
       "6    Otras    Combinaciones Individuales      68\n",
       "7    Otras     Platanos a base de Harina    8204\n",
       "8    Otras             Producto de Horno    9165\n",
       "9    Otras          Producto en Frituras      59"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brands = group_brands['brand_id'].head().values\n",
    "group_products = snacks_df[snacks_df['brand_id'].isin(brands)].groupby(['brand_id', 'category_name'])['units'].count().reset_index(name='count').sort_values('brand_id')\n",
    "\n",
    "group_products"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the product types that produce more sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0,0,'Producto en Frituras'),\n",
       " Text(0,0,'Otros'),\n",
       " Text(0,0,'Producto de Extrusion'),\n",
       " Text(0,0,'Platanos a base de Harina'),\n",
       " Text(0,0,'Combinaciones Individuales'),\n",
       " Text(0,0,'Producto de Horno'),\n",
       " Text(0,0,'Producto a base de Platano'),\n",
       " Text(0,0,'Producto a base de Tuberculo'),\n",
       " Text(0,0,'Multiproductos')]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "group_category = snacks_df.groupby('category_name')['units'].sum().reset_index(name='units').sort_values('units', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='category_name', y='units', data=group_category)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resume\n",
    "\n",
    "We found that the products that sales the most are \"Producto en frituras\" this product is sale by the brand \"M07\", this is the second brand that sales most."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the top 10 products that sales the most?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "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>product_id</th>\n",
       "      <th>units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>53100002</td>\n",
       "      <td>111264552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53100003</td>\n",
       "      <td>45994968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>53100008</td>\n",
       "      <td>5934816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>53100004</td>\n",
       "      <td>5431752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>53100007</td>\n",
       "      <td>2190384</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   product_id      units\n",
       "0    53100002  111264552\n",
       "1    53100003   45994968\n",
       "4    53100008    5934816\n",
       "2    53100004    5431752\n",
       "3    53100007    2190384"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "product_group = snacks_df.groupby('product_id')['units'].sum().reset_index(name='units')\n",
    "product_group.head().sort_values('units', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x12bd1c668>"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "product_group['product_id'] = product_group['product_id'].map(lambda x: str(x) + 'a')\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='product_id', y='units', data=product_group.sort_values('units', ascending=False).head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## In what category are this products?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "576    53408407\n",
       "307    53200034\n",
       "577    53408408\n",
       "367    53300297\n",
       "66     53107234\n",
       "53     53102174\n",
       "331    53300244\n",
       "418    53402122\n",
       "10     53100154\n",
       "75     53107333\n",
       "Name: product_id, dtype: object"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_selled_products = product_group.sort_values('units', ascending=False).head(10)['product_id'].map(lambda x: x.replace('a', ''))\n",
    "most_selled_products"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "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>category_name</th>\n",
       "      <th>product_id</th>\n",
       "      <th>units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Otros</td>\n",
       "      <td>53408407</td>\n",
       "      <td>722783808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Otros</td>\n",
       "      <td>53200034</td>\n",
       "      <td>664473024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Otros</td>\n",
       "      <td>53408408</td>\n",
       "      <td>617268960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Platanos a base de Harina</td>\n",
       "      <td>53107234</td>\n",
       "      <td>462912120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>53102174</td>\n",
       "      <td>433187520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>53402122</td>\n",
       "      <td>241083900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Producto de Extrusion</td>\n",
       "      <td>53100154</td>\n",
       "      <td>222297600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Platanos a base de Harina</td>\n",
       "      <td>53107333</td>\n",
       "      <td>205215768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               category_name  product_id      units\n",
       "1                      Otros    53408407  722783808\n",
       "0                      Otros    53200034  664473024\n",
       "2                      Otros    53408408  617268960\n",
       "3  Platanos a base de Harina    53107234  462912120\n",
       "6      Producto de Extrusion    53102174  433187520\n",
       "7      Producto de Extrusion    53402122  241083900\n",
       "5      Producto de Extrusion    53100154  222297600\n",
       "4  Platanos a base de Harina    53107333  205215768"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(snacks_df[snacks_df['product_id'].isin(most_selled_products)]\n",
    "     .groupby(['category_name', 'product_id'])['units']\n",
    "     .sum()\n",
    "     .reset_index()\n",
    "     .sort_values('units', ascending=False))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the behaviour of product types by month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_name = 'Producto en Frituras'\n",
    "\n",
    "category_df = snacks_df[snacks_df['category_name'] == category_name]\n",
    "category_grouping = category_df.groupby('yyyymm')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='yyyymm', y='units', data=category_grouping)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We cannot see any clear pattern, maybe adding the distributor variable in here we can see patterns?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How is the sales distribution of this `Producto en Frituras`?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11ed49860>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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L+iEwAFwg6TBwOzAgaQnNS2SHgD8EiIgDkrYCLwGngbUR8V6OcwuwE5gGbIyIAznFN4Atkr4FPAc8kPUHgB9IGqJ5k8HKSa/WzMw+NOMGTETc0KL8QIvamfZ3AXe1qO8AdrSov0rzLrOR9V8BXxrv/MzMrJ78TX4zMyvCAWNmZkU4YMzMrAgHjJmZFeGAMTOzIhwwZmZWhAPGzMyKcMCYmVkRDhgzMyvCAWNmZkU4YMzMrAgHjJmZFeGAMTOzIhwwZmZWhAPGzMyKcMCYmVkRDhgzMyvCAWNmZkU4YMzMrAgHjJmZFTFuwEjaKOmYpBcrtfMk7ZJ0MH/Ozrok3SdpSNILki6t9BnM9gclDVbql0nan33uk6Sx5jAzs97QzjuYB4HlI2rrgN0RsQjYnY8BrgEW5bYGWA/NsABuB64ALgdurwTGeuCrlX7Lx5nDzMx6wLgBExF/BZwYUV4BbMr9TcB1lfpD0fQUMEvSHOBqYFdEnIiIk8AuYHke+2REPBURATw0YqxWc5iZWQ+Y3mG/vog4mvtvAn25Pxd4o9LucNbGqh9uUR9rjr9H0hqa75jo6+uj0WhMcDk54Uy49eLTHfWdrE7PeSzDw8NFxu0Wr6fevJ5668Z6Og2Y90VESIqpOJlO54iIDcAGgP7+/hgYGOhonvs3b+Oe/ZP+lXTk0I0DUz5mo9Gg099FHXk99eb11Fs31tPpXWRv5eUt8uexrB8B5lfazcvaWPV5LepjzWFmZj2g04DZDpy5E2wQ2Fapr8q7yZYCp/Iy105gmaTZ+eH+MmBnHntH0tK8e2zViLFazWFmZj1g3OtBkn4IDAAXSDpM826wbwNbJa0GXge+nM13ANcCQ8AvgZsAIuKEpDuBZ7LdHRFx5saBm2neqTYTeDw3xpjDzMx6wLgBExE3jHLoqhZtA1g7yjgbgY0t6nuBi1rUj7eaw8zMeoO/yW9mZkU4YMzMrAgHjJmZFeGAMTOzIhwwZmZWhAPGzMyKcMCYmVkRDhgzMyvCAWNmZkU4YMzMrAgHjJmZFeGAMTOzIhwwZmZWhAPGzMyKcMCYmVkRDhgzMyvCAWNmZkU4YMzMrAgHjJmZFTGpgJF0SNJ+Sfsk7c3aeZJ2STqYP2dnXZLukzQk6QVJl1bGGcz2ByUNVuqX5fhD2VeTOV8zM/vwTMU7mH8aEUsioj8frwN2R8QiYHc+BrgGWJTbGmA9NAMJuB24ArgcuP1MKGWbr1b6LZ+C8zUzsw9BiUtkK4BNub8JuK5SfyiangJmSZoDXA3siogTEXES2AUsz2OfjIinIiKAhypjmZlZzU02YAL4S0nPSlqTtb6IOJr7bwJ9uT8XeKPS93DWxqofblE3M7MeMH2S/b8QEUck/UNgl6SfVg9GREiKSc4xrgy3NQB9fX00Go2OxumbCbdefHoKz6x9nZ7zWIaHh4uM2y1eT715PfXWjfVMKmAi4kj+PCbpUZqfobwlaU5EHM3LXMey+RFgfqX7vKwdAQZG1BtZn9eifavz2ABsAOjv74+BgYFWzcZ1/+Zt3LN/spnbmUM3Dkz5mI1Gg05/F3Xk9dSb11Nv3VhPx5fIJJ0j6RNn9oFlwIvAduDMnWCDwLbc3w6syrvJlgKn8lLaTmCZpNn54f4yYGcee0fS0rx7bFVlLDMzq7nJvFzvAx7NO4enA38REf9b0jPAVkmrgdeBL2f7HcC1wBDwS+AmgIg4IelO4Jlsd0dEnMj9m4EHgZnA47mZmVkP6DhgIuJV4LMt6seBq1rUA1g7ylgbgY0t6nuBizo9RzMz6x5/k9/MzIpwwJiZWREOGDMzK8IBY2ZmRThgzMysCAeMmZkV4YAxM7MiHDBmZlaEA8bMzIpwwJiZWREOGDMzK8IBY2ZmRThgzMysCAeMmZkV4YAxM7MiHDBmZlaEA8bMzIpwwJiZWREOGDMzK6L2ASNpuaRXJA1JWtft8zEzs/bUOmAkTQO+C1wDLAZukLS4u2dlZmbtqHXAAJcDQxHxakT8GtgCrOjyOZmZWRvqHjBzgTcqjw9nzczMam56t09gKkhaA6zJh8OSXulwqAuAn0/NWU2M7i4ybNfWU4jXU29eT72Nt55/NNUT1j1gjgDzK4/nZe0DImIDsGGyk0naGxH9kx2nLryeevN66s3rmby6XyJ7BlgkaaGkGcBKYHuXz8nMzNpQ63cwEXFa0i3ATmAasDEiDnT5tMzMrA21DhiAiNgB7PiQppv0Zbaa8XrqzeupN69nkhQRH/acZmb2EVD3z2DMzKxHOWBSt/8kjaSNko5JerFSO0/SLkkH8+fsrEvSfXmuL0i6tNJnMNsflDRYqV8maX/2uU+SOp2jzfXMl/SkpJckHZD0tV5ek6SPSXpa0vO5nm9mfaGkPTnmw3kzCpLOzsdDeXxBZazbsv6KpKsr9ZbPwU7mmMC6pkl6TtJjvb4eSYfy+bBP0t6s9eTzLfvPkvSIpJ9KelnS53puPRHxkd9o3kDwM+BTwAzgeWDxh3wOvwdcCrxYqf0nYF3urwPuzv1rgccBAUuBPVk/D3g1f87O/dl57Olsq+x7TSdzTGA9c4BLc/8TwN/Q/HM/Pbmm7PPx3D8L2JNjbAVWZv1PgX+T+zcDf5r7K4GHc39xPr/OBhbm827aWM/Bic4xwf+d/i3wF8BjncxVp/UAh4ALRtR68vmW/TcB/yr3ZwCzem09Xf/HvQ4b8DlgZ+XxbcBtXTiPBXwwYF4B5uT+HOCV3P8+cMPIdsANwPcr9e9nbQ7w00r9/XYTnWMSa9sGfPG3YU3APwB+AlxB84tr00c+j2je+fi53J+e7TTyuXWm3WjPwewzoTkmsI55wG7gSuCxTuaq2XoO8fcDpiefb8C5wGsj199r6/Elsqa6/kmavog4mvtvAn25P9r5jlU/3KLeyRwTlpc6LqH5qr9n15SXk/YBx4BdNF+hvx0Rp1uM9/5cefwUcH4H6zy/gzna9V+A/wD8XT7uZK46rSeAv5T0rJp/3QN69/m2EPi/wJ/nJcz/LumcXluPA6ZHRPMlQ/TaHJI+DvwI+HpEvFN6vpGmco6IeC8iltB85X858LtTMW43SPrnwLGIeLbb5zKFvhARl9L86+trJf1e9WCPPd+m07xkvj4iLgF+QfNyVYm5RjXZORwwTW39SZoueEvSHID8eSzro53vWPV5LeqdzNE2SWfRDJfNEfHj34Y1AUTE28CTNC/vzJJ05vtk1fHenyuPnwsc72CdxzuYox2fB/6FpEM0/0r5lcB/7eH1EBFH8ucx4FGaLwJ69fl2GDgcEXvy8SM0A6en1uOAaarrn6TZDgzm/iDNzzHO1FflXR1LgVP5lnYnsEzS7LzzYxnN69tHgXckLc07RVaNGGsic7Ql53kAeDkivtPra5J0oaRZuT+T5udJL9MMmutHmevMOVwPPJGvBrcDK9W8Y2ohsIjmh60tn4PZZ6JzjCsibouIeRGxIOd6IiJu7NX1SDpH0ifO7NN8nrxIjz7fIuJN4A1J/zhLVwEv9dx62vnA6aOw0bxD4m9oXlf/4y7M/0PgKPD/aL56WU3z+vNu4CDwf4Dzsq1o/ofYfgbsB/or43wFGMrtpkq9n+b/4X4G/Dd+8yXbCc/R5nq+QPOt9QvAvtyu7dU1Af8EeC7X8yLwH7P+KZr/oA4B/wM4O+sfy8dDefxTlbH+OM/hFfLOnbGeg53MMcH/rQb4zV1kPbmeHPP53A6cma9Xn2/ZfwmwN59z/5PmXWA9tR5/k9/MzIrwJTIzMyvCAWNmZkU4YMzMrAgHjJmZFeGAMTOzIhwwZmZWhAPGzMyKcMCYmVkR/x/p9pm0QqEzVQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_df['units'].hist()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Why are there such high values in the sales?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the top highest sales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "960701     5855976\n",
       "1033939    4858848\n",
       "225099     4814424\n",
       "10015      4743576\n",
       "11073      4566024\n",
       "177809     4123224\n",
       "1060065    3943296\n",
       "1001245    3717576\n",
       "982591     3656376\n",
       "340475     3331224\n",
       "Name: units, dtype: int64"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_df['units'].sort_values(ascending = False).head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have some sales that are in millions, se we can identify that probably there are two type of buyers, the ones that buys very big quantities, and others that buy normal quantities."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean of the units: 7388.801240912989\n",
      "Median of the units: 240.0\n"
     ]
    }
   ],
   "source": [
    "print(f\"Mean of the units: {category_df['units'].mean()}\")\n",
    "print(f\"Median of the units: {category_df['units'].median()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that we have a mean that it is very far from the median, that could be because we have pretty big outliers, why is this happening? can we determine the sales that are causing this?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What are the percentiles of the units data? can we separate big buyers with a percentile value?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0.1': 20.0,\n",
       " '0.2': 60.0,\n",
       " '0.3': 80.0,\n",
       " '0.4': 144.0,\n",
       " '0.5': 240.0,\n",
       " '0.6': 360.0,\n",
       " '0.7': 720.0,\n",
       " '0.8': 1656.0,\n",
       " '0.9': 6432.0}"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "quantiles = {}\n",
    "for i in range(1, 10):\n",
    "    percentage = i * 10 / 100\n",
    "    quantiles[str(percentage)] = category_df['units'].quantile(percentage)\n",
    "\n",
    "quantiles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm going to choose a quantile in order to separate the data as high buyers and normal buyers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "quantile = '0.8'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "big_sales = category_df[category_df['units'] > quantiles[quantile]]\n",
    "normal_sales = category_df[category_df['units'] <= quantiles[quantile]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 72722 big sales\n",
      "There are 293460 normal sales\n"
     ]
    }
   ],
   "source": [
    "print(f\"There are {len(big_sales)} big sales\")\n",
    "print(f\"There are {len(normal_sales)} normal sales\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1242eaf98>"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "sns.distplot(normal_sales['units'], bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x120872f60>"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "sns.distplot(big_sales['units'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Is still difficult to see what is happening to the big sales as there isn't a clear distribution for them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's do a separate analysis of what is happening with the big sales.."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the distributor types that are buying more?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "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>distributor</th>\n",
       "      <th>units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Tiendas</td>\n",
       "      <td>2326668244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Clientes Mayoristas</td>\n",
       "      <td>85528764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Grandes Superficies</td>\n",
       "      <td>76086294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Superficies Menores</td>\n",
       "      <td>67500984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Negocios Esp</td>\n",
       "      <td>47167060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Cadenas Medianas</td>\n",
       "      <td>6424560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Venta en Calle</td>\n",
       "      <td>6256950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Clientes Droguerias</td>\n",
       "      <td>1513468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Otros</td>\n",
       "      <td>10224</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           distributor       units\n",
       "7              Tiendas  2326668244\n",
       "2  Clientes Mayoristas    85528764\n",
       "3  Grandes Superficies    76086294\n",
       "6  Superficies Menores    67500984\n",
       "4         Negocios Esp    47167060\n",
       "0     Cadenas Medianas     6424560\n",
       "8       Venta en Calle     6256950\n",
       "1  Clientes Droguerias     1513468\n",
       "5                Otros       10224"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_sales.groupby('distributor')['units'].sum().reset_index().sort_values('units', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1247f50b8>"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "sns.boxplot(x='distributor', y='units', data=big_sales)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see in this chart that at there are some types of ditributor that generates big sales, and there are other that are more constant in their purchases."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_distributors = category_df['distributor'].unique()\n",
    "stable_distributors = ['Superficies Menores', 'Clientes Droguerias', 'Cadenas Medianas', 'Otros']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x175a040b8>"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "sns.distplot(category_df[category_df['distributor'] == stable_distributors[2]]['units'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## I'm going to set `Tiendas` as the ditributor type that represents the big sales\n",
    "## Can I see anything that indicates me why this stores are buying such high quantities of product?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [],
   "source": [
    "big_distributor = 'Tiendas'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x175a68588>"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_group = big_sales[big_sales['distributor'] == big_distributor].groupby('year')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='year', y='units', data=year_group)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For year we cannot see any clear pattern, seems to be stable, to have into account that 2014 and 2018 there are not sufficient data so that is reflected having a very low value in 2018"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16b74ea58>"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "month_group = big_sales[big_sales['distributor'] == big_distributor].groupby('month')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='month', y='units', data=month_group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_month_group = big_sales[big_sales['distributor'] == big_distributor].groupby('yyyymm')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='yyyymm', y='units', data=year_month_group)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see some months that are particularly high in terms of sales, but in general we can see a tendency of that category of product is decreasing a little bit with time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='month', y='units', hue='year', data=big_sales[big_sales['distributor'] == big_distributor])\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the offices that produces the biggest sales?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1548ebbe0>"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "office_sales = category_df.groupby('office_department_city')['units'].sum().reset_index().sort_values('units', ascending=False)\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='office_department_city', y='units', data=office_sales)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cali is the office that produces more sales."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How is the cali sales in time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "cali_df = category_df[category_df['office_department_city'] == 'Cali']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x126608da0>"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cali_group = cali_df.groupby('year')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='year', y='units', data=cali_group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x126608a58>"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cali_group = cali_df.groupby('month')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "sns.barplot(x='month', y='units', data=cali_group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "cali_group = cali_df.groupby('yyyymm')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='yyyymm', y='units', data=cali_group)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Flavors?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['MAYONESA', 'LIMON', 'POLLO', 'NATURAL', 'VARIOS', 'SURTIDO',\n",
       "       'OTROS'], dtype=object)"
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_df['flavor_name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.lineplot(x='yyyymm', y='units', hue='flavor_name', data=cali_df)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How can I add the distributor variable in this analysis?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What are the warehouses that dispatch most sales for cali?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "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>warehouse_city</th>\n",
       "      <th>units</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NORTE</td>\n",
       "      <td>404310583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>TULUA</td>\n",
       "      <td>258562934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PALMIRA</td>\n",
       "      <td>210958473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BUGA</td>\n",
       "      <td>132724310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SUR</td>\n",
       "      <td>92901586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>POPAYAN</td>\n",
       "      <td>7200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>PEREIRA</td>\n",
       "      <td>900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CARTAGENA</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ESPECIALES</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  warehouse_city      units\n",
       "3          NORTE  404310583\n",
       "8          TULUA  258562934\n",
       "4        PALMIRA  210958473\n",
       "0           BUGA  132724310\n",
       "7            SUR   92901586\n",
       "6        POPAYAN       7200\n",
       "5        PEREIRA        900\n",
       "1      CARTAGENA          0\n",
       "2     ESPECIALES          0"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cali_df.groupby('warehouse_city')['units'].sum().reset_index().sort_values('units', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How are the Norte warehouse dispatches through time?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "warehouse_group = cali_df[cali_df['warehouse_city'] == 'NORTE'].groupby('yyyymm')['units'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16, 10))\n",
    "ax = sns.barplot(x='yyyymm', y='units', data=warehouse_group)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=90)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}