a3-analise-dado.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A3 BIG DATA\n",
    "\n",
    "## Premissa\n",
    "\n",
    "Fomos contratados por uma empresa varejista de roupas para alavancar suas vendas. Ela nos ofereceu o seu registro de vendas, disponível em formato CSV e nos solicitou em retorno a criação de uma estratégia de marketing e um mapeamento mais específico de seu público alvo (persona) atualmente\n",
    "\n",
    "## Objetivos da estratégia de marketing:\n",
    "\n",
    "- Satisfação do cliente\n",
    "- Quantidade de produtos vendidos em cada marca\n",
    "- Lucro líquido (com desconto aplicado)\n",
    "- Encontar carro chefe de vendas\n",
    "- Encontrar temporada preferida do publico alvo\n",
    "- Encontrar gênero que é mais atendido\n",
    "- Encontar material mais vendido\n",
    "\n",
    "marcas_populares = [\n",
    "    \"Adidas\",\n",
    "    \"Lupo\",\n",
    "    \"Mizuno\",\n",
    "    \"Mormaii\",\n",
    "    \"Fila\",\n",
    "    \"Zorba\",\n",
    "    \"Menina Linda\",\n",
    "    \"MultiMarcas\",\n",
    "    \"Stillger Jeans\",\n",
    "    \"Mash\",\n",
    "    \"Keeper\",\n",
    "    \"Almix\",\n",
    "    \"Imperio Kids\",\n",
    "    \"AMANDIKA KIDS\",\n",
    "    \"Levi's\",\n",
    "    \"Slim Fitness\",\n",
    "    \"New Era\",\n",
    "    \"Paraíso da Lingerie\",\n",
    "    \"Importado\",\n",
    "    \"Genérica\",\n",
    "    \"Olympikus\",\n",
    "    \"Puma\",\n",
    "    \"Under Armour\"\n",
    "]:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Instalar depdendências"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/thiago/.local/lib/python3.8/site-packages/IPython/core/interactiveshell.py:2607: UserWarning: You executed the system command !pip which may not work as expected. Try the IPython magic %pip instead.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in /home/thiago/.local/lib/python3.8/site-packages (2.0.3)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /home/thiago/.local/lib/python3.8/site-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: tzdata>=2022.1 in /home/thiago/.local/lib/python3.8/site-packages (from pandas) (2023.3)\n",
      "Requirement already satisfied: numpy>=1.20.3; python_version < \"3.10\" in /home/thiago/.local/lib/python3.8/site-packages (from pandas) (1.24.3)\n",
      "Requirement already satisfied: pytz>=2020.1 in /home/thiago/.local/lib/python3.8/site-packages (from pandas) (2023.3)\n",
      "Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.8.2->pandas) (1.14.0)\n",
      "Requirement already satisfied: findspark in /home/thiago/.local/lib/python3.8/site-packages (2.0.1)\n",
      "Requirement already satisfied: matplotlib in /home/thiago/.local/lib/python3.8/site-packages (3.7.3)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (2.8.2)\n",
      "Requirement already satisfied: cycler>=0.10 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (0.12.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (1.4.5)\n",
      "Requirement already satisfied: packaging>=20.0 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (23.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (4.43.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (3.1.1)\n",
      "Requirement already satisfied: numpy<2,>=1.20 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (1.24.3)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (1.1.1)\n",
      "Requirement already satisfied: importlib-resources>=3.2.0; python_version < \"3.10\" in /home/thiago/.local/lib/python3.8/site-packages (from matplotlib) (6.1.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in /usr/lib/python3/dist-packages (from matplotlib) (7.0.0)\n",
      "Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.7->matplotlib) (1.14.0)\n",
      "Requirement already satisfied: zipp>=3.1.0; python_version < \"3.10\" in /home/thiago/.local/lib/python3.8/site-packages (from importlib-resources>=3.2.0; python_version < \"3.10\"->matplotlib) (3.17.0)\n",
      "Requirement already satisfied: squarify in /home/thiago/.local/lib/python3.8/site-packages (0.4.3)\n",
      "Requirement already satisfied: loguru in /home/thiago/.local/lib/python3.8/site-packages (0.7.2)\n"
     ]
    }
   ],
   "source": [
    "# Instalar dependências\n",
    "get_ipython().system_raw('pip install pandas')\n",
    "get_ipython().system_raw('pip install findspark')\n",
    "get_ipython().system_raw('pip install matplotlib')\n",
    "get_ipython().system_raw('pip install squarify')\n",
    "get_ipython().system_raw('pip install loguru')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Configurações iniciais - tratar xlsx para criar um .csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "23/10/10 01:38:44 WARN Utils: Your hostname, W10-tks resolves to a loopback address: 127.0.1.1; using 172.25.91.212 instead (on interface eth0)\n",
      "23/10/10 01:38:44 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another address\n",
      "23/10/10 01:38:46 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable\n",
      "Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties\n",
      "Setting default log level to \"WARN\".\n",
      "To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).\n",
      "\u001b[32m2023-10-10 01:39:05.195\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m15\u001b[0m - \u001b[1mConfiguração pronta!\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
    "os.environ[\"SPARK_HOME\"] = \"./spark-3.1.2-bin-hadoop2.7\"\n",
    "import findspark\n",
    "findspark.init()\n",
    "from pyspark.sql import SparkSession\n",
    "import pandas as pd\n",
    "from loguru import logger\n",
    "\n",
    "spark = SparkSession.builder.appName(\n",
    "    'A3 Análise de dados e Big Data').getOrCreate()\n",
    "\n",
    "roupas = spark.read.csv(path='./data/clothes_db.csv', sep=',')\n",
    "roupas = roupas.fillna(\"Sem avaliação\")\n",
    "logger.info(\"Configuração pronta!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tratamento de dados - renomear colunas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- titulo: string (nullable = false)\n",
      " |-- preco_original: string (nullable = false)\n",
      " |-- desconto_percentual: string (nullable = false)\n",
      " |-- preco_com_desconto: string (nullable = false)\n",
      " |-- quantidade_vendida: string (nullable = false)\n",
      " |-- marca: string (nullable = false)\n",
      " |-- material: string (nullable = false)\n",
      " |-- genero: string (nullable = false)\n",
      " |-- temporada: string (nullable = false)\n",
      " |-- nota_satisfacao: string (nullable = false)\n",
      " |-- quantidade_avals: string (nullable = false)\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------+--------------+-------------------+------------------+------------------+--------------------+--------------------+-------------------+--------------------+---------------+----------------+\n",
      "|              titulo|preco_original|desconto_percentual|preco_com_desconto|quantidade_vendida|               marca|            material|             genero|           temporada|nota_satisfacao|quantidade_avals|\n",
      "+--------------------+--------------+-------------------+------------------+------------------+--------------------+--------------------+-------------------+--------------------+---------------+----------------+\n",
      "|Pijama Cirurgico ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|TORONTO UNIFORMES...|           Poliéster|         Sem gênero|                 N/A|              4|             273|\n",
      "|Kit 10 Cuecas Box...|     R$ 274.81|                18%|         R$ 232.89|             10000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|            3034|\n",
      "|Kit Com 10 Cuecas...|     R$ 239.88|                20%|         R$ 199.90|             50000|               Zorba|             Algodão|          Masculino|                 N/A|            3.1|            5682|\n",
      "|Kit 10 Cuecas Box...|     R$ 279.86|                22%|         R$ 229.39|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            3.1|            1700|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            3.1|             507|\n",
      "|Kit 3 Calça Mascu...|     R$ 180.15|                 0%|         R$ 180.15|             10000|         MultiMarcas|Jeans Que Estica ...|          Masculino|     Primavera/Verão|            3.1|            1326|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            3.1|            1796|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            3.1|             421|\n",
      "|Roupa Festa Tik T...|      R$ 82.94|                 6%|          R$ 78.25|              1000|         Estilo fada|                 N/A|            Meninas|                 N/A|            3.1|             140|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            3.1|             388|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|              4|              18|\n",
      "|Roupa Ração Em Ox...|      R$ 49.90|                 0%|          R$ 49.90|              1000|  Atacadao Beira Mar|                 N/A|          Masculino|                 N/A|            3.1|             394|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            3.1|             190|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            3.1|            2382|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|            1429|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|              52|\n",
      "|Pijama Masculino ...|      R$ 53.99|                 0%|          R$ 53.99|              5000| Paraíso da Lingerie|           Poliéster|          Masculino|     Primavera/Verão|            3.1|             704|\n",
      "|Kit 6 Cuecas/calc...|     R$ 139.90|                 0%|         R$ 139.90|              1000|           Importado|                 N/A|              Bebês|                 N/A|            3.1|             363|\n",
      "|Organizador Neces...|      R$ 44.87|                13%|          R$ 39.71|              5000|            Genérica|              Náilon|         Sem gênero|                 N/A|            3.1|             361|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             384|\n",
      "|Kit 5 Bermuda Sho...|     R$ 194.91|                15%|         R$ 169.49|              5000|             Canario|           Moletinho|          Masculino|     Primavera/Verão|            3.1|             672|\n",
      "|Roupa Conjunto Té...|      R$ 78.90|                 0%|          R$ 78.90|              1000|                Neve|Poliéster Elastan...|            Meninas|      Outono/Inverno|            3.1|             103|\n",
      "|Pacote 4 Cuecas B...|     R$ 132.49|                25%|         R$ 105.99|             10000|               Zorba|             Algodão|          Masculino|Primavera-verão O...|            3.1|            2290|\n",
      "|Organizador Neces...|      R$ 35.90|                 0%|          R$ 35.90|              5000|            Genérica|           Poliéster|         Sem gênero|                 N/A|            3.1|             453|\n",
      "|Cueiro Swaddle Aj...|     R$ 115.84|                11%|         R$ 104.36|              1000|        Miracle Baby|                 N/A|              Bebês|                 N/A|            3.1|              80|\n",
      "|Faixa Peitoral Pa...|     R$ 140.79|                18%|         R$ 119.31|              1000|             MEN'spa|82% Poliéster; 18...|          Masculino|                 N/A|            3.1|              78|\n",
      "|Kit Com 4 Short P...|      R$ 64.30|                11%|          R$ 57.93|              1000|    Silvest Lingerie|           Poliéster|           Feminino|     Primavera/Verão|            3.1|              88|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             178|\n",
      "|Fita Dupla Face P...|     R$ 104.93|                46%|          R$ 71.87|              1000|Esquarcio Import ...|                 N/A|         Sem gênero|                 N/A|            3.1|              86|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            3.1|             331|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            3.1|            1796|\n",
      "|Fita Dupla Face P...|     R$ 104.93|                46%|          R$ 71.87|              1000|Esquarcio Import ...|                 N/A|         Sem gênero|                 N/A|            3.1|              86|\n",
      "|Kit Com 10 Cuecas...|     R$ 199.88|                25%|         R$ 159.90|              1000|               Zorba|             Algodão|          Masculino|     Primavera/Verão|            3.1|             426|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 143.97|                31%|         R$ 109.90|              1000|                Lupo|           Poliamida|            Meninos|     Primavera/Verão|            3.1|             145|\n",
      "|Kit C/23 Peças Bo...|     R$ 122.98|                 8%|         R$ 113.87|              1000|     Batutinhas Baby|                 N/A|              Bebês|     Primavera/Verão|            4.5|             711|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 171.44|                43%|         R$ 119.89|              5000|               Zorba|             Algodão|          Masculino|                 N/A|            4.7|            1478|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|            1429|\n",
      "|Kit 3 Blusas Mull...|     R$ 118.63|                12%|         R$ 105.92|              5000|         Moov Sports|                 N/A|           Feminino|                 N/A|            3.1|            1090|\n",
      "|Kit 3 Cuecas Slip...|      R$ 89.88|                20%|          R$ 74.90|              1000|                Mash|             Algodão|          Masculino|                 N/A|            3.1|             218|\n",
      "|Kit 3 Bermudas Je...|     R$ 209.48|                 5%|         R$ 199.50|              5000|            Bamborra|               Jeans|          Masculino|      Outono/Inverno|            3.1|             620|\n",
      "|Kit Lote 6 Conjun...|     R$ 153.90|                10%|         R$ 139.91|              1000|               Mkids|                 N/A|            Meninas|                 N/A|            4.3|             355|\n",
      "|Calça Jeans Preta...|      R$ 69.98|                13%|          R$ 61.93|             10000|      Stillger Jeans|               Sarja|           Feminino|      Outono/Inverno|            3.1|            1533|\n",
      "|Kit 8 Peças Lote ...|     R$ 120.90|                10%|         R$ 109.91|              1000|            AMK Kids|                 N/A|            Meninos|                 N/A|            3.1|             317|\n",
      "|Kit 6 Cuecas Algo...|     R$ 142.99|                10%|         R$ 129.99|              1000|                Mash|             Algodão|          Masculino|Primavera-verão O...|            3.1|             422|\n",
      "|Faixa + Extensor ...|      R$ 47.02|                 6%|          R$ 44.36|              5000|              sulebe|                 N/A|           Feminino|                 N/A|            3.1|             260|\n",
      "|Kit 12 Peças De R...|     R$ 148.39|                 8%|         R$ 137.40|              5000|        Imperio Kids|                 N/A|            Meninos|                 N/A|            3.1|            1223|\n",
      "|Blusa Mullet Roup...|      R$ 33.87|                14%|          R$ 29.71|              5000|         Moov Sports|                 N/A|           Feminino|                 N/A|            3.1|             493|\n",
      "|Calça Feminina Ly...|      R$ 56.99|                 0%|          R$ 56.99|              1000|              Thamuz|               Sarja|           Feminino|     Primavera/Verão|            4.7|             218|\n",
      "|Kit Com 10 Cuecas...|     R$ 199.88|                18%|         R$ 169.39|              5000|                Mash|             Algodão|          Masculino|Primavera-verão O...|            4.7|            1266|\n",
      "|Calça Jeans Femin...|     R$ 225.32|                31%|         R$ 172.00|              5000|        Sawary Jeans|             Algodão|           Feminino|      Outono/Inverno|            4.5|            1072|\n",
      "|Saco Para Roupa S...|      R$ 45.00|                 0%|          R$ 45.00|              1000|           Gobanners|                 N/A|                N/A|                 N/A|            3.1|              77|\n",
      "|Conjunto Roupa De...|      R$ 65.00|                 0%|          R$ 65.00|              5000|Confé - Vestindo ...|                 N/A|         Sem gênero|                 N/A|            3.1|             602|\n",
      "|Calça Montaria Go...|      R$ 50.03|                 6%|          R$ 47.20|             10000|        REMANESCENTE|           Poliéster|           Feminino|                 N/A|            3.1|            1019|\n",
      "|Kit 6 Cuecas Boxe...|     R$ 177.38|                16%|         R$ 152.91|             10000|                Lupo|      Algodão Cotton|          Masculino|Primavera-verão O...|            3.1|            1676|\n",
      "|Body Tematico De ...|      R$ 23.46|                 5%|          R$ 22.34|              1000|     Laura Chic Baby|                 N/A|              Bebês|     Primavera/Verão|            3.1|              76|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            3.1|             507|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|              52|\n",
      "|Kit 3 Calça Jeans...|     R$ 182.95|                 5%|         R$ 174.24|              1000|            Stillger|             Algodão|           Feminino|      Outono/Inverno|            3.1|             312|\n",
      "|Uniforme Anti-cha...|     R$ 397.96|                 0%|         R$ 397.96|              1000|                 MLV|                 N/A|                N/A|                 N/A|            3.1|              46|\n",
      "|Body Bebê+mijão L...|      R$ 72.76|                 8%|          R$ 67.37|              5000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.3|             602|\n",
      "|Kit 2 Calças Jean...|     R$ 141.02|                 5%|         R$ 134.30|             10000|               Almix|                Jean|          Masculino|     Primavera/Verão|            3.1|            2146|\n",
      "|Saco Para Roupa S...|      R$ 55.00|                 0%|          R$ 55.00|              1000|           Gobanners|                 N/A|                N/A|                 N/A|            3.1|              66|\n",
      "|Kit 5 Conjunto Me...|     R$ 144.09|                11%|         R$ 129.81|             10000|        Imperio Kids|                 N/A|          Masculino|                 N/A|            3.1|            2396|\n",
      "|Jaqueta Jeans Fem...|      R$ 70.94|                10%|          R$ 64.49|              1000|      Stillger Jeans|             Algodão|           Feminino|      Outono/Inverno|            3.1|             249|\n",
      "|Kit C/5 Cueca Cal...|     R$ 139.90|                 0%|         R$ 139.90|              1000|           Importada|                 N/A|              Bebês|                 N/A|            3.1|             278|\n",
      "|Kit Com 10 Cuecas...|     R$ 240.82|                15%|         R$ 209.41|              1000|                Mash|             Algodão|          Masculino|Primavera-verão O...|            3.1|             327|\n",
      "|Kit Top E Legging...|      R$ 78.32|                 0%|          R$ 78.32|              1000|         Delafitness|           Poliamida|            Meninas|     Primavera/Verão|            4.4|             158|\n",
      "|Pijama Cirúrgico ...|      R$ 78.97|                 0%|          R$ 78.97|              5000|ROSE CARCELIN ves...|              Oxford|         Sem gênero|                 N/A|            4.1|             382|\n",
      "|Calça Legging K2b...|      R$ 68.38|                 0%|          R$ 68.38|              1000|                 K2b|           Poliamida|           Feminino|                 N/A|            3.1|             263|\n",
      "|Kit 30 Pçs Enxova...|     R$ 172.60|                18%|         R$ 146.27|              1000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.6|             919|\n",
      "|Kit 5 Camisetas M...|     R$ 361.06|                51%|         R$ 239.11|             50000|               ZAROC|             Algodão|          Masculino|                 N/A|            4.5|            9077|\n",
      "|Kit 4 Calças Mole...|      R$ 57.68|                 0%|          R$ 57.68|              1000|            Colbacho|85% ALGODÃO 15% O...|            Meninos|      Outono/Inverno|            3.1|             608|\n",
      "|1000 Lacres De Au...|      R$ 48.82|                10%|          R$ 44.38|              1000|      Man Aviamentos|                 N/A|         Sem gênero|                 N/A|            4.1|              50|\n",
      "|Kit 3 Cuecas Boxe...|     R$ 128.99|                29%|          R$ 99.99|              1000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|             127|\n",
      "|Macacão Segurança...|      R$ 28.19|                10%|          R$ 25.63|              1000|Steelflex Epi Tip...|Capuz Laminado Ma...|         Sem gênero|                 N/A|            3.1|              30|\n",
      "|Kit 3pçs Roupa Ac...|      R$ 78.90|                 0%|          R$ 78.90|              1000|            PRIMON'S|           Poliéster|           Feminino|                 N/A|            3.1|             380|\n",
      "|Kit 3 Calças Jogg...|     R$ 182.80|                 0%|         R$ 182.80|              1000|           gbgsports|               Sarja|          Masculino|      Outono/Inverno|            4.3|             779|\n",
      "|Body Bebê+mijão L...|      R$ 72.76|                 8%|          R$ 67.37|              5000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            3.1|             602|\n",
      "|Kit 2 Calça Jeans...|     R$ 147.75|                10%|         R$ 134.32|              1000|           gbgsports|               Sarja|          Masculino|      Outono/Inverno|            3.1|             215|\n",
      "|Collant Meia Mang...|      R$ 39.59|                 0%|          R$ 39.59|              1000|              Ludilí|                 N/A|           Feminino|                 N/A|            4.9|             113|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            4.4|             388|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            4.6|            2382|\n",
      "|Kit Conjunto Infa...|     R$ 125.84|                11%|         R$ 113.37|              1000|                 N/A|                 N/A|            Meninas|                 N/A|            3.1|             711|\n",
      "|1000 Lacres De Au...|      R$ 52.90|                 0%|          R$ 52.90|              5000|     UNIVERSO TEXTIL|                 N/A|         Sem gênero|                 N/A|            4.1|             140|\n",
      "|Kit 12 Roupa Infa...|     R$ 178.81|                13%|         R$ 158.24|              5000|            ROUPITAS|                 N/A|            Meninas|                 N/A|            4.5|             637|\n",
      "|Calça Leg Lisa Có...|      R$ 31.92|                 5%|          R$ 30.40|              1000|         Valen Modas|       Tecido Suplex|           Feminino|                 N/A|            3.1|             262|\n",
      "|Organizador Neces...|      R$ 28.83|                 0%|          R$ 28.83|              5000|           CLOCKSHOP|              Náilon|         Sem gênero|                 N/A|            3.1|             359|\n",
      "|Macacão Apicultor...|     R$ 197.94|                10%|         R$ 179.95|              1000|                CELI|                 N/A|         Sem gênero|                 N/A|            3.1|             181|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 191.46|                19%|         R$ 160.89|              1000|                Puma|           Poliamida|          Masculino|      Outono/Inverno|            3.1|             301|\n",
      "|Kit C/23 Pcs Body...|     R$ 131.59|                15%|         R$ 114.43|              1000|            Volitare|                 N/A|              Bebês|                 N/A|            3.1|             575|\n",
      "|Calça Legging Fem...|      R$ 37.98|                 6%|          R$ 35.83|             50000|          Moda LLevo|       Tecido Suplex|           Feminino|                 N/A|            3.1|            2363|\n",
      "|Kit 2 Calça Leggi...|      R$ 50.92|                10%|          R$ 46.29|              1000|            Genérica|           Poliéster|           Feminino|                 N/A|            3.1|             258|\n",
      "|Blusa Térmica Fla...|      R$ 38.88|                 6%|          R$ 36.68|              1000|     Roupas Térmicas|                 N/A|           Feminino|      Outono/Inverno|            3.1|             303|\n",
      "|Roupa De Ração Fe...|      R$ 65.00|                 0%|          R$ 65.00|              5000|Confé - Vestindo ...|                 N/A|           Feminino|                 N/A|            3.1|             530|\n",
      "|1000 Lacres Auten...|      R$ 65.90|                10%|          R$ 59.91|             10000|     UNIVERSO TEXTIL|                 N/A|         Sem gênero|                 N/A|            3.1|             255|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             421|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            4.6|            2382|\n",
      "|Kit 3 Calcinha Ou...|      R$ 78.90|                 0%|          R$ 78.90|              1000|           Importada|                 N/A|              Bebês|                 N/A|            3.1|              95|\n",
      "|Calça Masculina T...|      R$ 73.40|                29%|          R$ 56.90|              1000|          ImportChin|           Poliéster|          Masculino|      Outono/Inverno|            3.1|             204|\n",
      "|Short Jeans Femin...|      R$ 46.95|                 6%|          R$ 44.29|              1000|            Stillger|             Algodão|           Feminino|     Primavera/Verão|            3.1|             237|\n",
      "|Lacre De Autentic...|      R$ 62.70|                36%|          R$ 46.10|              1000|Lacres de autenti...|                 N/A|         Sem gênero|                 N/A|            4.9|              70|\n",
      "|Kit 3 Cuecas Lupo...|      R$ 97.82|                24%|          R$ 78.89|              1000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|             257|\n",
      "|Correntinhas Para...|      R$ 41.99|                 0%|          R$ 41.99|              1000|           Russo Art|                 N/A|                N/A|                 N/A|            3.1|              79|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 73.77|                19%|          R$ 61.99|             10000|                Lupo|           Poliamida|          Masculino|     Primavera/Verão|            3.1|             742|\n",
      "|Roupa Naruto Akat...|      R$ 91.11|                21%|          R$ 75.30|              1000|            Genérica|           Poliéster|         Sem gênero|      Outono/Inverno|            4.7|             139|\n",
      "|3 Conjuntos Fitne...|     R$ 153.76|                19%|         R$ 129.21|              1000|              Akorio|           Poliéster|           Feminino|     Primavera/Verão|            4.4|             286|\n",
      "|Calça Jeans Femin...|     R$ 119.11|                 0%|         R$ 119.11|              1000|Variados Moda Fem...|         Jeans Denin|            Meninas|     Primavera/Verão|            3.1|             189|\n",
      "|Kit 9 Cuecas Lupo...|     R$ 289.66|                26%|         R$ 229.89|              1000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            4.4|             165|\n",
      "|Kit 3 Camisa Acad...|     R$ 115.10|                18%|          R$ 97.54|              5000|             Parvori|           Poliéster|          Masculino|                 N/A|            3.1|             913|\n",
      "|Kit Lote 12 Peças...|     R$ 146.40|                 0%|         R$ 146.40|              5000|        Balloon Kids|                 N/A|            Meninas|                 N/A|            3.1|             970|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            4.6|            1240|\n",
      "|Lacre De Autentic...|      R$ 62.70|                36%|          R$ 46.10|              1000|Lacres de autenti...|                 N/A|         Sem gênero|                 N/A|            4.9|              70|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|              4|              18|\n",
      "|Organizador Neces...|      R$ 29.99|                 0%|          R$ 29.99|              1000|            Genérica|              Náilon|         Sem gênero|                 N/A|            3.1|             140|\n",
      "|Short Jeans Femin...|      R$ 48.59|                 7%|          R$ 45.41|              1000|      Stillger Jeans|             Algodão|           Feminino|     Primavera/Verão|            4.3|             297|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            3.1|             340|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            4.7|              89|\n",
      "|Bermuda Esportiva...|     R$ 124.88|                25%|          R$ 99.90|              1000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|             181|\n",
      "|Bailarina De Balé...|      R$ 99.97|                 0%|          R$ 99.97|              1000|Ballet Laços Bale...|                 N/A|           Feminino|                 N/A|            3.1|             438|\n",
      "|Calcinha Tapa Fra...|      R$ 45.90|                 0%|          R$ 45.90|              1000|           Zulekinha|                 N/A|              Bebês|                 N/A|            4.8|              82|\n",
      "|Capa Para Mala Vi...|      R$ 49.90|                 0%|          R$ 49.90|              1000|         Zecamaleiro|                 N/A|                N/A|                 N/A|            3.1|             175|\n",
      "|Roupa Bermudas Ad...|      R$ 59.00|                 0%|          R$ 59.00|              1000|   Rota das Bermudas|             Algodão|          Masculino|     Primavera/Verão|            3.1|              76|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|            3.1|              18|\n",
      "|4 Conjuntos Calça...|     R$ 272.11|                24%|         R$ 219.44|              5000|                 N/A|    Suplex Poliéster|           Feminino|                 N/A|            3.1|            1025|\n",
      "|Saida De Maternid...|      R$ 74.84|                 8%|          R$ 69.30|              5000|            Maribaby|                 N/A|              Bebês|                 N/A|            3.1|             584|\n",
      "|3 Peças Conjunto ...|      R$ 64.60|                 0%|          R$ 64.60|              1000|         Th Shopping|             Algodão|            Meninos|                 N/A|            4.9|             149|\n",
      "|Terno Kit Infanti...|     R$ 189.90|                 0%|         R$ 189.90|              1000|                 GBS|                 N/A|              Bebês|                 N/A|            4.8|             149|\n",
      "|Calça Branca Jean...|      R$ 72.93|                13%|          R$ 64.54|              1000|      Stillger Jeans|             Algodão|           Feminino|      Outono/Inverno|            3.1|             308|\n",
      "|Ballet Bale Roupa...|     R$ 109.97|                 0%|         R$ 109.97|              1000|        Ballet Laços|             Helanca|           Feminino|                 N/A|            4.8|             353|\n",
      "|Organizador Neces...|      R$ 44.87|                13%|          R$ 39.71|              5000|            Genérica|              Náilon|         Sem gênero|                 N/A|            4.4|             361|\n",
      "|Kit Com 4 Short P...|      R$ 64.30|                11%|          R$ 57.93|              1000|    Silvest Lingerie|           Poliéster|           Feminino|     Primavera/Verão|            4.2|              88|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            4.2|             619|\n",
      "|Roupa Infantil Ma...|      R$ 46.96|                 0%|          R$ 46.96|              1000|         Th Shopping|             Algodão|            Meninos|                 N/A|            3.1|             326|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.2|             384|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Calça Jeans Femin...|     R$ 180.05|                 6%|         R$ 169.86|              1000|              Sawary|                Jean|           Feminino|      Outono/Inverno|            4.6|             227|\n",
      "|Kit 6 Cuecas Box ...|     R$ 220.66|                20%|         R$ 183.88|              5000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|             782|\n",
      "|Kit 2 Conjuntos C...|     R$ 125.90|                26%|          R$ 99.92|              1000|                 N/A|              Suplex|           Feminino|                 N/A|            4.3|             211|\n",
      "|Calça Feminina Ly...|      R$ 81.94|                10%|          R$ 74.49|              1000|              Thamuz|               Sarja|           Feminino|     Primavera/Verão|            4.6|             105|\n",
      "|Kit 2 Calça Femin...|     R$ 104.85|                 0%|         R$ 104.85|              1000|        REMANESCENTE|           Poliéster|           Feminino|                 N/A|            3.1|             279|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            3.1|             619|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             384|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 10 Cuecas Box...|     R$ 279.86|                22%|         R$ 229.39|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            3.1|            1700|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Bermuda Térmica M...|      R$ 62.86|                26%|          R$ 49.89|             10000|              Keeper|          Microfibra|          Masculino|     Primavera/Verão|            4.8|            1003|\n",
      "|Short Jeans Plus ...|      R$ 71.97|                11%|          R$ 64.84|              1000|      Stillger Jeans|               Jeans|           Feminino|     Primavera/Verão|            3.1|             208|\n",
      "|Extensor De Calça...|      R$ 35.90|                20%|          R$ 29.92|              1000|          Miva store|                 N/A|           Feminino|                 N/A|            3.1|              79|\n",
      "|Pijama Cirurgico ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|TORONTO UNIFORMES...|           Poliéster|         Sem gênero|                 N/A|            3.1|             273|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            3.1|             331|\n",
      "|Kit 10 Cuecas Box...|     R$ 274.81|                18%|         R$ 232.89|             10000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            4.5|            3034|\n",
      "|Kit Lote 4 Conjun...|     R$ 108.89|                 9%|          R$ 99.90|              1000|               Mkids|                 N/A|            Meninas|                 N/A|            3.1|             160|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            4.5|            1797|\n",
      "|Kit Com 10 Cuecas...|     R$ 239.88|                20%|         R$ 199.90|             50000|               Zorba|             Algodão|          Masculino|                 N/A|            4.7|            5682|\n",
      "|Calça Caqui - Rou...|      R$ 50.90|                 0%|          R$ 50.90|              1000|                Ajax|             Algodão|          Masculino|     Primavera/Verão|            3.1|              48|\n",
      "|Kit Collant Regat...|     R$ 126.07|                12%|         R$ 112.56|              1000| Stelariss Figurinos|                 N/A|           Feminino|                 N/A|            3.1|             344|\n",
      "|Kit 6 Peças De Ro...|     R$ 109.90|                10%|          R$ 99.91|              1000|           JOTA KIDS|                 N/A|            Meninos|                 N/A|            4.2|             253|\n",
      "|Conjunto Calça E ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|           MVB Modas|92% Poliéster 8% ...|          Masculino|                 N/A|            3.1|             243|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            3.1|             331|\n",
      "|Kit 3 Calça Mascu...|     R$ 180.15|                 0%|         R$ 180.15|             10000|         MultiMarcas|Jeans Que Estica ...|          Masculino|     Primavera/Verão|            3.1|            1326|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 171.44|                43%|         R$ 119.89|              5000|               Zorba|             Algodão|          Masculino|                 N/A|            4.7|            1478|\n",
      "|Fita Dupla Face P...|     R$ 104.93|                46%|          R$ 71.87|              1000|Esquarcio Import ...|                 N/A|         Sem gênero|                 N/A|            3.1|              86|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            4.8|            1429|\n",
      "|Kit 3 Calça Jeans...|     R$ 182.95|                 5%|         R$ 174.24|              1000|            Stillger|             Algodão|           Feminino|      Outono/Inverno|            4.3|             312|\n",
      "|Roupa Oxford Masc...|      R$ 49.90|                 0%|          R$ 49.90|              1000|  Atacadao Beira Mar|                 N/A|          Masculino|                 N/A|            3.1|             138|\n",
      "|Kit Atacado 3 Cal...|     R$ 205.07|                 8%|         R$ 189.88|             10000|            Moralice|                Jean|          Masculino|     Primavera/Verão|            3.1|            1872|\n",
      "|Kit 10 Peças Roup...|     R$ 139.61|                 0%|         R$ 139.61|              1000|Multimarcas Nacio...|                 N/A|            Meninos|                 N/A|            4.4|             223|\n",
      "|Calça C/bolso Leg...|      R$ 29.30|                 0%|          R$ 29.30|              1000|         delafitness|           Poliéster|           Feminino|                 N/A|            3.1|              45|\n",
      "|Kit 4 Blusas Femi...|     R$ 121.99|                 0%|         R$ 121.99|              1000|              Adamas|                 N/A|           Feminino|     Primavera/Verão|            4.6|             158|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            3.1|             507|\n",
      "|Saida De Maternid...|      R$ 95.88|                 8%|          R$ 88.78|             10000|   Maribaby enxovais|                 N/A|              Bebês|                 N/A|            3.1|            2979|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            3.1|             388|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|              52|\n",
      "|Kit 3 Calça Jeans...|     R$ 182.95|                 5%|         R$ 174.24|              1000|            Stillger|             Algodão|           Feminino|      Outono/Inverno|            3.1|             312|\n",
      "|Kit 10 Peças Roup...|     R$ 129.90|                 0%|         R$ 129.90|              1000|           Amma Kids|                 N/A|            Meninos|                 N/A|            3.1|             282|\n",
      "|Calca Branca Jean...|      R$ 86.91|                11%|          R$ 78.30|              5000|Variados Moda Fem...|  jeans com elastano|           Feminino|     Primavera/Verão|            3.1|            1015|\n",
      "|Kit 12 Peças De R...|     R$ 158.85|                10%|         R$ 144.41|              1000|       JURASSIC KIDS|                 N/A|            Meninos|                 N/A|            3.1|             207|\n",
      "|Calça Feminina Fl...|      R$ 53.97|                 0%|          R$ 53.97|              1000|             Propria|            Bandagem|           Feminino|      Outono/Inverno|            2.1|              69|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            3.1|             388|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            3.1|             507|\n",
      "|Kit 2 Calças Jean...|     R$ 141.02|                 5%|         R$ 134.30|             10000|               Almix|                Jean|          Masculino|     Primavera/Verão|            4.6|            2146|\n",
      "|Body Bebê+mijão L...|      R$ 72.76|                 8%|          R$ 67.37|              5000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.3|             602|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            3.1|             421|\n",
      "|Cobertor Enroladi...|      R$ 64.00|                 0%|          R$ 64.00|              1000|                 N/A|                 N/A|              Bebês|                 N/A|            4.8|              55|\n",
      "|Calça Jeans Mascu...|      R$ 64.90|                 0%|          R$ 64.90|              1000|               Almix|                Jean|          Masculino|      Outono/Inverno|            3.1|             122|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             421|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            4.6|            2384|\n",
      "|Kit 4 Blusas Mull...|     R$ 124.98|                 0%|         R$ 124.98|              1000|         Moov Sports|                 N/A|           Feminino|                 N/A|            3.1|             482|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            4.1|             190|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            3.1|            1240|\n",
      "|Short Jeans Femin...|      R$ 46.95|                 6%|          R$ 44.29|              1000|            Stillger|             Algodão|           Feminino|     Primavera/Verão|            3.1|             239|\n",
      "|Calça Jeans Femin...|      R$ 83.07|                12%|          R$ 74.17|             10000|             Tizioti|             Algodão|           Feminino|      Outono/Inverno|            3.1|            1028|\n",
      "|5 Calças Costura ...|     R$ 119.00|                 0%|         R$ 119.00|              1000|             C. Surf|          Microfibra|          Masculino|     Primavera/Verão|            4.5|             208|\n",
      "|Shorts Masculino ...|      R$ 38.90|                 0%|          R$ 38.90|             10000|               Elite|           Poliéster|          Masculino|     Primavera/Verão|            3.1|             807|\n",
      "|Roupa Térmica Fla...|     R$ 208.70|                10%|         R$ 189.73|              1000|                  SM|           Poliéster|          Masculino|      Outono/Inverno|            4.4|             128|\n",
      "|Kit 5 Conjunto To...|     R$ 276.85|                26%|         R$ 219.72|              1000|                 N/A|                 N/A|                N/A|                 N/A|            4.6|             152|\n",
      "|Calça Jeans Femin...|     R$ 182.86|                 6%|         R$ 172.51|              1000|              Sawary|               Jeans|           Feminino|      Outono/Inverno|            4.5|             151|\n",
      "|Short Jeans Femin...|      R$ 48.59|                 7%|          R$ 45.41|              1000|      Stillger Jeans|             Algodão|           Feminino|     Primavera/Verão|            4.3|             297|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            4.7|             341|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            4.7|              89|\n",
      "|Kit 21 Pçs Matern...|     R$ 140.97|                27%|         R$ 111.00|             10000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.4|            3042|\n",
      "|Saída De Maternid...|      R$ 74.84|                 8%|          R$ 69.30|              1000|            Maribaby|                 N/A|              Bebês|                 N/A|            3.1|             366|\n",
      "|Kit 12 Peças Roup...|     R$ 148.39|                 8%|         R$ 137.40|              1000|               Ekids|                 N/A|              Bebês|                 N/A|            3.1|             478|\n",
      "|Camisola Sensual ...|      R$ 31.26|                 0%|          R$ 31.26|              1000|Like4you atacado ...|             Helanca|                N/A|     Primavera/Verão|            4.6|             297|\n",
      "|Conjunto Roupa Me...|     R$ 157.62|                 7%|         R$ 147.31|              1000|       Poderoso Baby|                 N/A|              Bebês|                 N/A|            3.1|             279|\n",
      "|Kit Ballet Infant...|      R$ 78.97|                 0%|          R$ 78.97|              1000|   Balé  Ballet Lory|                 N/A|           Feminino|                 N/A|            3.1|             177|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            4.7|             341|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            4.7|              89|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|              4|              18|\n",
      "|Roupa Feminina Pl...|      R$ 78.90|                 0%|          R$ 78.90|              1000|      Explosão Total|    Malha Viscolycra|           Feminino|     Primavera/Verão|            3.1|              83|\n",
      "|Kit 3 Cueiro Flan...|      R$ 61.23|                11%|          R$ 55.16|              1000|        Bambino Bebe|                 N/A|              Bebês|                 N/A|            3.1|              96|\n",
      "|Kit 3 Calças Jean...|     R$ 215.89|                 8%|         R$ 199.90|              5000|            Moralice|                Jean|          Masculino|      Outono/Inverno|            4.6|             650|\n",
      "|Body De Bebê + Bo...|      R$ 38.85|                 5%|          R$ 37.00|              1000|     Laura Chic Baby|                 N/A|              Bebês|     Primavera/Verão|            3.1|              82|\n",
      "|Organizador Neces...|      R$ 44.87|                13%|          R$ 39.71|              5000|            Genérica|              Náilon|         Sem gênero|                 N/A|            4.4|             361|\n",
      "|Kit Com 4 Short P...|      R$ 64.30|                11%|          R$ 57.93|              1000|    Silvest Lingerie|           Poliéster|           Feminino|     Primavera/Verão|            4.2|              88|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            3.1|             621|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             384|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             178|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            4.3|            1017|\n",
      "|Calça Para Trabal...|      R$ 59.39|                11%|          R$ 53.50|             10000|              Miglar|Brim Algodão Micr...|          Masculino|     Primavera/Verão|            3.1|             303|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            3.1|             621|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             384|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Kit 10 Cuecas Box...|     R$ 279.86|                22%|         R$ 229.39|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            3.1|            1700|\n",
      "|Bermuda Térmica M...|      R$ 60.16|                24%|          R$ 48.52|             10000|              Keeper|          Microfibra|          Masculino|     Primavera/Verão|            4.8|            1004|\n",
      "|Conjunto Calça Bl...|      R$ 78.32|                 0%|          R$ 78.32|              1000|     Marca Importado|Composição: 92% p...|          Masculino|      Outono/Inverno|            4.6|              68|\n",
      "|Calça Jeans Infan...|     R$ 128.00|                 0%|         R$ 128.00|              1000|   ANJINHOS DE MAMAE|                Jean|            Meninos|     Primavera/Verão|            3.1|             157|\n",
      "|Pijama Cirurgico ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|TORONTO UNIFORMES...|           Poliéster|         Sem gênero|                 N/A|            3.1|             273|\n",
      "|Kit 10 Cuecas Box...|     R$ 274.81|                18%|         R$ 232.89|             10000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|            3036|\n",
      "|Kit Com 10 Cuecas...|     R$ 239.88|                20%|         R$ 199.90|             50000|               Zorba|             Algodão|          Masculino|                 N/A|            3.1|            5688|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            4.1|             332|\n",
      "|Kit 3 Calça Mascu...|     R$ 180.15|                 0%|         R$ 180.15|             10000|         MultiMarcas|Jeans Que Estica ...|          Masculino|     Primavera/Verão|            4.4|            1328|\n",
      "|Kit Ballet Infant...|      R$ 78.97|                 0%|          R$ 78.97|              1000|   Balé  Ballet Lory|                 N/A|           Feminino|                 N/A|            3.1|             177|\n",
      "|Organizador Neces...|      R$ 31.98|                 7%|          R$ 29.89|              5000|           CLOCKSHOP|              Náilon|         Sem gênero|                 N/A|            4.5|             486|\n",
      "|Kit 8 Peças Roupa...|     R$ 117.02|                 5%|         R$ 111.45|              1000|           Jota Kids|                 N/A|            Meninos|                 N/A|            3.1|             679|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            4.5|            1797|\n",
      "|Kit 5 Conjuntos F...|     R$ 159.08|                14%|         R$ 139.54|              1000|              N.MODA|                 N/A|            Meninas|                 N/A|            4.3|             119|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 171.44|                43%|         R$ 119.89|              5000|               Zorba|             Algodão|          Masculino|                 N/A|            4.7|            1479|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|            1429|\n",
      "|Kit Roupa De Bebe...|     R$ 110.48|                24%|          R$ 89.10|              1000|Duda Lelê Moda In...|                 N/A|              Bebês|      Outono/Inverno|            3.1|             399|\n",
      "|Saida De Maternid...|      R$ 95.88|                 8%|          R$ 88.78|             10000|   Maribaby enxovais|                 N/A|              Bebês|                 N/A|            3.1|            2979|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            3.1|             507|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            3.1|             388|\n",
      "|Kit 2 Calças Jean...|     R$ 141.02|                 5%|         R$ 134.30|             10000|               Almix|                Jean|          Masculino|     Primavera/Verão|            3.1|            2146|\n",
      "|Kit 3 Calças Jogg...|     R$ 198.75|                 9%|         R$ 182.34|              1000|           gbgsports|               Sarja|          Masculino|      Outono/Inverno|            3.1|             779|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|              52|\n",
      "|Kit 3 Calça Jogge...|     R$ 140.30|                 5%|         R$ 133.62|              1000|          EMS TEXTIL|Algodão; calca mo...|           Feminino|      Outono/Inverno|            2.1|             165|\n",
      "|Shorts Saia Jeans...|      R$ 71.96|                 8%|          R$ 66.63|              1000|        Menina Linda|             Algodão|           Feminino|     Primavera/Verão|            3.1|             141|\n",
      "|Top Fitness Acade...|      R$ 29.90|                 0%|          R$ 29.90|              1000|                Lovy|              Suplex|           Feminino|                 N/A|            4.5|              97|\n",
      "|Kit 10 Peças Roup...|     R$ 147.85|                 9%|         R$ 135.64|              1000|          AMEIXAKIDS|                 N/A|            Meninos|                 N/A|            4.5|             641|\n",
      "|Kit 10 T-shirts B...|     R$ 197.00|                 0%|         R$ 197.00|              1000|         MultiMarcas|                 N/A|           Feminino|     Primavera/Verão|              4|             172|\n",
      "|3000 Lacres De Au...|     R$ 191.84|                10%|         R$ 174.40|              1000|     universo textil|                 N/A|         Sem gênero|                 N/A|            3.1|              16|\n",
      "|Kit 10 Cuecas Box...|     R$ 457.78|                44%|         R$ 317.90|             10000|                Lupo|      Algodão Cotton|          Masculino|Primavera-verão -...|            4.5|             795|\n",
      "|6 Máscara Lupo De...|     R$ 119.99|                20%|          R$ 99.99|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|             258|\n",
      "|Calça Social Plus...|      R$ 80.67|                16%|          R$ 69.54|              1000|    Annalu Uniformes|  Two Way Bi elastic|           Feminino|      Outono/Inverno|            3.1|              91|\n",
      "|Kit 20 Peças Roup...|     R$ 230.10|                 9%|         R$ 211.10|              5000|        Imperio Kids|                 N/A|            Meninos|                 N/A|            3.1|             900|\n",
      "|Kit Com 4 Cueca B...|     R$ 132.49|                25%|         R$ 105.99|              1000|               Zorba|             Algodão|          Masculino|Primavera-verão O...|            4.7|             215|\n",
      "|Conjunto Blackout...|      R$ 95.90|                20%|          R$ 79.92|              1000|             MODELLA|              Suplex|           Feminino|                 N/A|            4.6|             202|\n",
      "|Kit Com 10 Cuecas...|     R$ 150.12|                 8%|         R$ 139.00|              1000|                Mash|             Algodão|            Meninos|     Primavera/Verão|            3.1|             207|\n",
      "|Kit Roupa De Bebe...|     R$ 125.17|                11%|         R$ 112.77|              1000|Duda Lelê Moda In...|                 N/A|              Bebês|                 N/A|            4.7|             538|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            4.1|             190|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            3.1|            2386|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             421|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            3.1|            1240|\n",
      "|Short Jeans Femin...|      R$ 46.95|                 6%|          R$ 44.29|              1000|            Stillger|             Algodão|           Feminino|     Primavera/Verão|            4.4|             239|\n",
      "|1 Camisola Renda ...|      R$ 37.71|                 5%|          R$ 35.91|             10000|                Sigh|                 N/A|                N/A|                 N/A|            3.1|            1036|\n",
      "|Roupas Femininas ...|      R$ 67.00|                 0%|          R$ 67.00|              1000|  Fabricacao Propria|               Jeans|           Feminino|     Primavera/Verão|            4.7|             142|\n",
      "|Roupa Conjunto Té...|     R$ 155.08|                11%|         R$ 139.71|              1000|                Neve|  Poliéster/Elastano|           Feminino|      Outono/Inverno|            4.7|             212|\n",
      "|Conjunto Feminino...|      R$ 78.90|                 0%|          R$ 78.90|              1000|     Marca Importado|Composição: 92% p...|          Masculino|      Outono/Inverno|            3.1|             144|\n",
      "|Roupa Exu Umbanda...|      R$ 65.00|                 0%|          R$ 65.00|              1000|Confé - Vestindo ...|                 N/A|         Sem gênero|                 N/A|            3.1|             208|\n",
      "|Minhocão Calça Ce...|     R$ 117.73|                50%|          R$ 78.49|              1000|          Bela Notte|             Algodão|          Masculino|Primavera/Verão/O...|            4.7|             208|\n",
      "|Blusa Mullet Roup...|      R$ 41.63|                12%|          R$ 37.17|             10000|         Moov Sports|                 N/A|           Feminino|                 N/A|            3.1|             114|\n",
      "|Roupa De Bebe Ata...|      R$ 69.90|                 0%|          R$ 69.90|              1000|          Jolen Baby|                 N/A|              Bebês|                 N/A|            4.4|             216|\n",
      "|Lacre De Autentic...|      R$ 62.70|                36%|          R$ 46.10|              1000|Lacres de autenti...|                 N/A|         Sem gênero|                 N/A|            4.9|              70|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|            3.1|              18|\n",
      "|Short Jeans Femin...|      R$ 48.59|                 7%|          R$ 45.41|              1000|      Stillger Jeans|             Algodão|           Feminino|     Primavera/Verão|            3.1|             298|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            3.1|             341|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            4.7|              89|\n",
      "|Máscara Lupo Zero...|      R$ 23.00|                 0%|          R$ 23.00|              1000|                Lupo|                 N/A|                N/A|                 N/A|            3.1|              98|\n",
      "|Cabide Infantil B...|      R$ 65.83|                11%|          R$ 59.31|              1000|           Amilplast|                 N/A|              Bebês|                 N/A|            3.1|              84|\n",
      "|4 Máscara Lupo De...|      R$ 38.42|                11%|          R$ 34.61|             50000|                Lupo|                 N/A|                N/A|                 N/A|  Sem avaliação|               0|\n",
      "|Kit Máscara Fiber...|      R$ 63.83|                 8%|          R$ 59.10|              1000|               Fiber|                 N/A|                N/A|                 N/A|            4.7|             175|\n",
      "|Roupa Roupinha Di...|      R$ 39.90|                 0%|          R$ 39.90|              1000|        Pitaya Vibes|             Algodão|              Bebês|      Outono/Inverno|            4.6|             506|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            3.1|             341|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            4.7|              89|\n",
      "|Body Temático Urs...|      R$ 22.90|                 0%|          R$ 22.90|              1000|                 N/A|                 N/A|              Bebês|                 N/A|            4.8|              98|\n",
      "|Kit 6 Peças Molet...|      R$ 99.80|                 0%|          R$ 99.80|              1000|            Cleomara|             Moletom|            Meninas|                 N/A|            4.3|             311|\n",
      "|Calça Térmica Seg...|      R$ 59.90|                 0%|          R$ 59.90|              1000|Roupas Térmicas 2...|Segunda Pele Térm...|          Masculino|      Outono/Inverno|            4.7|             104|\n",
      "|Kit C/ 2faixas + ...|      R$ 70.02|                 9%|          R$ 64.24|              1000|              sulebe|                 N/A|           Feminino|                 N/A|            3.1|              93|\n",
      "|Calcinha Bunda Ri...|     R$ 129.90|                 0%|         R$ 129.90|              1000|       Mimos da Babi|                 N/A|              Bebês|                 N/A|            4.7|             105|\n",
      "|Kit Com 4 Short P...|      R$ 64.30|                11%|          R$ 57.93|              1000|    Silvest Lingerie|           Poliéster|           Feminino|     Primavera/Verão|            3.1|              88|\n",
      "|Organizador Neces...|      R$ 44.87|                13%|          R$ 39.71|              5000|            Genérica|              Náilon|         Sem gênero|                 N/A|            4.4|             361|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            3.1|             621|\n",
      "|Tapa Bumbum Saia ...|      R$ 34.20|                 0%|          R$ 34.20|              1000|         Element Fit|                 N/A|           Feminino|                 N/A|            3.1|             114|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.2|             385|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            4.3|            1017|\n",
      "|Cabide Colorido I...|      R$ 39.83|                10%|          R$ 36.21|              5000|           Amilplast|                 N/A|              Bebês|                 N/A|            3.1|             249|\n",
      "|Conjunto De Balé ...|     R$ 117.97|                 0%|         R$ 117.97|              1000|    Balé Ballet Lory|                 N/A|           Feminino|                 N/A|            3.1|             178|\n",
      "|Calça Jeans Infan...|      R$ 51.97|                11%|          R$ 46.82|              1000|    Produto Nacional|       Jeans ou Brim|            Meninos|                 N/A|            4.8|             137|\n",
      "|Lacres De Autênti...|      R$ 34.90|                 0%|          R$ 34.90|              1000|     UNIVERSO TEXTIL|                 N/A|         Sem gênero|                 N/A|            3.1|              51|\n",
      "|Saída De Maternid...|     R$ 168.82|                21%|         R$ 139.52|              1000|           Nika Baby|                 N/A|              Bebês|                 N/A|            3.1|             362|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            4.2|             621|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.2|             385|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            3.1|             178|\n",
      "|Camiseta Branca U...|      R$ 42.60|                11%|          R$ 38.38|              1000|            Silkriar|             Algodão|         Sem gênero|                 N/A|            3.1|             169|\n",
      "|Bermuda Térmica M...|      R$ 60.16|                24%|          R$ 48.52|             10000|              Keeper|          Microfibra|          Masculino|     Primavera/Verão|            3.1|            1004|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Kit 10 Cuecas Box...|     R$ 279.86|                22%|         R$ 229.39|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            4.6|            1700|\n",
      "|Kit 10 Shorts Fem...|     R$ 199.00|                 0%|         R$ 199.00|              1000| Carolina ShopOutlet|             Algodão|           Feminino|     Primavera/Verão|            4.4|             135|\n",
      "|Roupa Feminina Um...|      R$ 78.00|                 0%|          R$ 78.00|              1000|  Atacadão Beira Mar|                 N/A|           Feminino|                 N/A|            3.1|             251|\n",
      "|Pijama Cirurgico ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|TORONTO UNIFORMES...|           Poliéster|         Sem gênero|                 N/A|            3.1|             273|\n",
      "|Kit 10 Cuecas Box...|     R$ 274.81|                18%|         R$ 232.89|             10000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|            3036|\n",
      "|Kit Com 10 Cuecas...|     R$ 239.88|                20%|         R$ 199.90|             50000|               Zorba|             Algodão|          Masculino|                 N/A|            4.7|            5688|\n",
      "|Kit 3 Blusa Femin...|     R$ 128.94|                 8%|         R$ 119.39|              1000|      Básicas Brasil|                 N/A|           Feminino|     Primavera/Verão|            4.7|             590|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            4.1|             332|\n",
      "|Kit 6 Cuecas Box ...|     R$ 220.66|                20%|         R$ 183.88|              1000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            4.8|             325|\n",
      "|Kit Roupa Infanti...|     R$ 124.90|                 0%|         R$ 124.90|              1000|             Própria|           Bengaline|            Meninas|      Outono/Inverno|            4.3|             163|\n",
      "|Conjunto Roupa Me...|     R$ 210.01|                 6%|         R$ 198.12|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            3.1|             215|\n",
      "|Kit 3 Roupas Femi...|     R$ 139.90|                 0%|         R$ 139.90|              1000|            Mr Jeans|               Jeans|           Feminino|     Primavera/Verão|            4.5|             271|\n",
      "|Roupa De Academia...|     R$ 100.90|                 0%|         R$ 100.90|              1000|           CorpusFit|           Poliéster|           Feminino|                 N/A|            3.1|             262|\n",
      "|Kit Cueca Slip Bá...|     R$ 220.17|                23%|         R$ 179.00|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            4.8|            1784|\n",
      "|Kit 12 Cuecas Sli...|     R$ 146.90|                 5%|         R$ 139.90|              5000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            4.6|             609|\n",
      "|Calça Jeans Femin...|     R$ 169.64|                17%|         R$ 144.99|              1000|              Sawary|             Algodão|           Feminino|     Primavera/Verão|            3.1|             318|\n",
      "|Fita Dupla Face P...|     R$ 104.93|                46%|          R$ 71.87|              1000|Esquarcio Import ...|                 N/A|         Sem gênero|                 N/A|            4.5|              87|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 171.44|                43%|         R$ 119.89|              5000|               Zorba|             Algodão|          Masculino|                 N/A|            3.1|            1479|\n",
      "|Cadarço Elástico ...|      R$ 20.30|                 0%|          R$ 20.30|              1000|           Cool Lace|                 N/A|         Sem gênero|                 N/A|            3.1|              57|\n",
      "|Kit 3 Calça Mascu...|     R$ 180.15|                 0%|         R$ 180.15|             10000|         MultiMarcas|Jeans Que Estica ...|          Masculino|     Primavera/Verão|            3.1|            1329|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            3.1|            1429|\n",
      "|Saida De Maternid...|      R$ 95.88|                 8%|          R$ 88.78|             10000|   Maribaby enxovais|                 N/A|              Bebês|                 N/A|            3.1|            2981|\n",
      "|Kit Roupa De Ball...|     R$ 115.74|                 0%|         R$ 115.74|              1000|              ludilí|                 N/A|           Feminino|                 N/A|            4.7|             250|\n",
      "|Roupa Masculina I...|      R$ 64.90|                 0%|          R$ 64.90|              1000|            POPOPANO|         Jeans Sarja|            Meninos|      Outono/Inverno|            3.1|              85|\n",
      "|Short Jeans Plus ...|      R$ 56.00|                 0%|          R$ 56.00|              1000|         short jeans|               Jeans|           Feminino|     Primavera/Verão|            3.1|              63|\n",
      "|Kit 4 Cuecas Box ...|     R$ 137.44|                12%|         R$ 122.71|              5000|                Lupo|          Microfibra|          Masculino|Primavera-verão O...|            4.8|             787|\n",
      "|Conjunto Infantil...|      R$ 46.96|                 0%|          R$ 46.96|              1000|         Th Shopping|             Algodão|            Meninos|                 N/A|            4.4|             120|\n",
      "|Kit 3 Calças Bran...|      R$ 78.00|                 0%|          R$ 78.00|              1000|             C. SURF|           Poliéster|          Masculino|     Primavera/Verão|            3.1|              65|\n",
      "|Bolero De Plush C...|      R$ 48.65|                10%|          R$ 44.23|              1000|          Mundo Nina|               Plush|              Bebês|      Outono/Inverno|            3.1|             160|\n",
      "|Kit 7 Calça Tacte...|     R$ 199.10|                 0%|         R$ 199.10|              1000|             C. SURF|          Microfibra|          Masculino|     Primavera/Verão|            4.6|             174|\n",
      "|Body Bebê Estampa...|     R$ 161.48|                 8%|         R$ 149.52|              5000|Duda Lelê Moda In...|                 N/A|              Bebês|                 N/A|            4.7|             802|\n",
      "|Roupa Social Infa...|     R$ 149.88|                 8%|         R$ 138.78|              1000| Mundo Príncipe Kids|                 N/A|              Bebês|                 N/A|            4.8|             378|\n",
      "|Roupa Infantil De...|      R$ 49.88|                13%|          R$ 44.14|              1000|            Isa Kids|                 N/A|                N/A|                 N/A|            4.7|             154|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            4.9|              52|\n",
      "|Calça Jeans Femin...|     R$ 158.99|                 6%|         R$ 149.99|              1000|            Destmoda|               Jeans|           Feminino|      Outono/Inverno|            4.5|             329|\n",
      "|Saida De Maternid...|      R$ 95.88|                 8%|          R$ 88.78|             10000|   Maribaby enxovais|                 N/A|              Bebês|                 N/A|            4.7|            2982|\n",
      "|Kit 3 Calça Jeans...|     R$ 182.95|                 5%|         R$ 174.24|              1000|            Stillger|             Algodão|           Feminino|      Outono/Inverno|            3.1|             312|\n",
      "|Roupa Do Poderoso...|     R$ 142.89|                 6%|         R$ 134.80|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            3.1|             149|\n",
      "|Saco De Dormir Be...|      R$ 81.85|                10%|          R$ 74.41|              1000|   Atelie Mundo Daju|                 N/A|              Bebês|                 N/A|            3.1|             109|\n",
      "|Kit 2 Calças Jean...|     R$ 141.02|                 5%|         R$ 134.30|             10000|               Almix|                Jean|          Masculino|     Primavera/Verão|            3.1|            2146|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            3.1|             388|\n",
      "|Kit 3 Calças Jogg...|     R$ 198.75|                 9%|         R$ 182.34|              1000|           gbgsports|               Sarja|          Masculino|      Outono/Inverno|            4.3|             779|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            3.1|             190|\n",
      "|Kit Roupa Uniform...|     R$ 119.90|                 0%|         R$ 119.90|              1000|              Outros|                 N/A|            Meninas|                 N/A|            4.9|             122|\n",
      "|Kit C/ 3 Faixas +...|      R$ 70.00|                 0%|          R$ 70.00|              5000|              sulebe|                 N/A|           Feminino|                 N/A|            4.3|             358|\n",
      "|Kit 10 Cuecas Box...|     R$ 242.66|                11%|         R$ 218.61|              1000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            3.1|              78|\n",
      "|Shorts Masculino ...|      R$ 34.50|                 0%|          R$ 34.50|             10000|               Elite|           Poliéster|          Masculino|     Primavera/Verão|            4.6|             437|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             423|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            4.1|             190|\n",
      "|Organizador Neces...|      R$ 35.90|                 0%|          R$ 35.90|              5000|            Genérica|           Poliéster|         Sem gênero|                 N/A|            3.1|             453|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            4.6|            1240|\n",
      "|Binder Com Alça -...|      R$ 51.87|                 5%|          R$ 49.40|              1000|        Slim Fitness|                 N/A|         Sem gênero|                 N/A|            4.2|              70|\n",
      "|Kit 6 Cuecas Box ...|     R$ 211.14|                15%|         R$ 183.60|              1000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            4.7|              76|\n",
      "|Calça Caqui Roupa...|      R$ 49.90|                 0%|          R$ 49.90|              1000|               funny|       BRIM- ALGODÃO|         Sem gênero|                 N/A|            3.1|              67|\n",
      "|Conjunto Masculin...|      R$ 44.00|                 0%|          R$ 44.00|              1000|         Th Shopping|             Algodão|            Meninos|                 N/A|            4.5|             363|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            3.1|            1240|\n",
      "|Lacre De Autentic...|      R$ 62.70|                36%|          R$ 46.10|              1000|Lacres de autenti...|                 N/A|         Sem gênero|                 N/A|            3.1|              70|\n",
      "|Short Jeans Femin...|      R$ 48.59|                 7%|          R$ 45.41|              1000|      Stillger Jeans|             Algodão|           Feminino|     Primavera/Verão|            4.3|             299|\n",
      "|Saco De Dormir Be...|     R$ 111.81|                16%|          R$ 96.39|              1000|   Atelie Mundo Daju|                 N/A|              Bebês|                 N/A|            4.8|             486|\n",
      "|Bermuda Masculina...|      R$ 59.00|                 0%|          R$ 59.00|              1000|            Bamborra|             Algodão|          Masculino|                 N/A|            3.1|             342|\n",
      "|Kit 21 Pçs Matern...|     R$ 140.97|                27%|         R$ 111.00|             10000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            3.1|            3043|\n",
      "|Body Bebê Vovô Vo...|      R$ 28.81|                14%|          R$ 25.27|              1000|Fantastic Baby Fa...|                 N/A|              Bebês|     Primavera/Verão|            3.1|              89|\n",
      "|Kit Lote 10 Conju...|     R$ 263.90|                10%|         R$ 239.91|              1000|           Mega Kids|                 N/A|         Sem gênero|                 N/A|            3.1|             430|\n",
      "|Roupas Femininas ...|      R$ 65.90|                 0%|          R$ 65.90|              1000|  Fabricacao Propria|                Jean|           Feminino|     Primavera/Verão|            4.7|             159|\n",
      "|Pijama Homem Conj...|      R$ 44.99|                 0%|          R$ 44.99|              1000| Paraíso da Lingerie|           Poliéster|          Masculino|     Primavera/Verão|            4.7|             392|\n",
      "|Blusa De Academia...|      R$ 82.85|                 6%|          R$ 78.16|              5000|        Time Fitness|                 N/A|           Feminino|                 N/A|            4.6|             917|\n",
      "|Kit 4 Cuecas Lupo...|     R$ 101.78|                19%|          R$ 85.53|              1000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            4.5|             193|\n",
      "|Kit 03 Conjuntos ...|     R$ 169.14|                24%|         R$ 136.40|              1000|              Akorio|              Suplex|           Feminino|     Primavera/Verão|            4.2|             115|\n",
      "|Calça Envelope Pa...|      R$ 78.90|                 0%|          R$ 78.90|              1000|Ateliê Darlene Pa...|     Viscose Sarjada|           Feminino|     Primavera/Verão|            4.7|              72|\n",
      "|Kit C/3 Un Camisa...|      R$ 82.85|                 6%|          R$ 78.16|             10000|Éved Maromba Malh...|Tshirt Atual Esti...|          Masculino|     Primavera/Verão|            3.1|            1396|\n",
      "|Kit 10 Cuecas Box...|     R$ 385.58|                20%|         R$ 321.32|              1000|                Lupo|          Microfibra|          Masculino|Primavera-verão O...|            4.8|             197|\n",
      "|Kit 12 Peças De R...|     R$ 163.10|                11%|         R$ 146.94|              5000|        Imperio Kids|                 N/A|            Meninos|                 N/A|            3.1|             955|\n",
      "|Calça Moletom Mas...|     R$ 132.97|                11%|         R$ 119.79|              1000|              Malwee|             Algodão|          Masculino|      Outono/Inverno|            3.1|             155|\n",
      "|Calça Preta Ou Az...|      R$ 26.90|                 0%|          R$ 26.90|              1000|             C. SURF|              432261|          Masculino|     Primavera/Verão|            3.1|              18|\n",
      "|Kit 5 Conjuntos F...|     R$ 169.85|                10%|         R$ 154.41|              1000|              N.MODA|                 N/A|            Meninas|                 N/A|            4.4|             412|\n",
      "|Kit Roupa De Bebe...|     R$ 130.78|                19%|         R$ 109.90|              1000|Duda Lelê Moda In...|                 N/A|              Bebês|                 N/A|            4.6|             725|\n",
      "|1000 Lacre Autent...|      R$ 52.99|                 0%|          R$ 52.99|              1000|                 N/A|                 N/A|         Sem gênero|                 N/A|            3.1|              21|\n",
      "|Manta Bebê Trico ...|      R$ 54.86|                 5%|          R$ 52.25|              1000|            UP! Gift|                 N/A|              Bebês|                 N/A|            3.1|             193|\n",
      "|3 Conjuntos Femin...|      R$ 99.88|                 0%|          R$ 99.88|              1000|        JinkingStore|           Poliéster|           Feminino|                 N/A|            3.6|             373|\n",
      "|Kit 3 Cuecas Masc...|     R$ 298.87|                30%|         R$ 229.90|              1000|Calvin Klein Unde...|             Algodão|          Masculino|     Primavera/Verão|            4.1|             102|\n",
      "|Organizador Neces...|      R$ 44.87|                13%|          R$ 39.71|              5000|            Genérica|              Náilon|         Sem gênero|                 N/A|            3.1|             361|\n",
      "|Kit Com 4 Short P...|      R$ 64.30|                11%|          R$ 57.93|              1000|    Silvest Lingerie|           Poliéster|           Feminino|     Primavera/Verão|            4.2|              88|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            4.2|             621|\n",
      "|Calça Oxford Unif...|      R$ 33.90|                 0%|          R$ 33.90|              1000|     miglar uniforme|   Brim 100% algodão|         Sem gênero|     Primavera/Verão|            2.1|              17|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.2|             385|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Kit 4 Cueca Taman...|     R$ 116.51|                 0%|         R$ 116.51|              1000|                Lupo|             Algodão|          Masculino|Primavera-verão O...|  Sem avaliação|               0|\n",
      "|Kit 10 Cuecas Lup...|     R$ 188.90|                 5%|         R$ 179.90|              1000|                Lupo|         Algodão 95%|          Masculino|                2021|            3.1|             621|\n",
      "|Roupa Completa Co...|     R$ 166.87|                10%|         R$ 151.70|              5000|              Pérola|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.2|             385|\n",
      "|Kit 5 Camisetas D...|     R$ 131.23|                 6%|         R$ 123.80|              5000|caminhada Cross f...|                 N/A|         Sem gênero|                 N/A|            3.1|            1017|\n",
      "|Macacão Roupa De ...|     R$ 252.81|                24%|         R$ 203.88|              1000|                Celi|   Brim 100% Algodão|         Sem gênero|                 N/A|            4.3|             178|\n",
      "|Kit 10 Cuecas Box...|     R$ 279.86|                22%|         R$ 229.39|             10000|                Mash|             Algodão|          Masculino|     Primavera/Verão|            3.1|            1701|\n",
      "|Bermuda Térmica M...|      R$ 60.16|                24%|          R$ 48.52|             10000|              Keeper|          Microfibra|          Masculino|     Primavera/Verão|            4.8|            1005|\n",
      "|Conjunto Feminino...|     R$ 139.86|                 8%|         R$ 129.50|              1000|        Nana Fashion|          Viscolycra|           Feminino|      Outono/Inverno|            4.4|             255|\n",
      "|Calça Jeans Femin...|      R$ 83.07|                12%|          R$ 74.17|              5000|             Tizioti|             Algodão|           Feminino|      Outono/Inverno|            3.1|             551|\n",
      "|Roupa De Criança ...|      R$ 27.90|                 0%|          R$ 27.90|              1000|          Vesttuario|100% Algodão fio ...|Sem gênero infantil|                 N/A|            3.1|             104|\n",
      "|Body Temático Woo...|      R$ 26.94|                10%|          R$ 24.49|              1000|              bodies|                 N/A|              Bebês|     Primavera/Verão|            3.1|              86|\n",
      "|Kit 10 Cuecas Box...|     R$ 299.86|                25%|         R$ 239.89|              1000|              Selene|           Poliamida|          Masculino|      Outono/Inverno|            4.8|             278|\n",
      "|Kit 4 Conjunto In...|     R$ 129.99|                 0%|         R$ 129.99|              1000|         Bebe Maluco|                 N/A|              Bebês|                 N/A|            3.1|             177|\n",
      "|Pijama Cirurgico ...|      R$ 69.90|                 0%|          R$ 69.90|              1000|TORONTO UNIFORMES...|           Poliéster|         Sem gênero|                 N/A|            3.1|             273|\n",
      "|Kit 10 Cuecas Box...|     R$ 274.81|                18%|         R$ 232.89|             10000|                Lupo|             Algodão|          Masculino|      Outono/Inverno|            4.5|            3037|\n",
      "|Kit Com 10 Cuecas...|     R$ 239.88|                20%|         R$ 199.90|             50000|               Zorba|             Algodão|          Masculino|                 N/A|            3.1|            5691|\n",
      "|Macacão Apicultor...|     R$ 182.83|                10%|         R$ 166.21|              1000|                CELI|             Algodão|         Sem gênero|                 N/A|            4.1|             332|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            3.1|            1798|\n",
      "|Macacao Amarrar S...|      R$ 69.99|                 0%|          R$ 69.99|              1000|                   M|          Viscolycra|           Feminino|     Primavera/Verão|            3.1|              95|\n",
      "|Macacão Bebê Unis...|      R$ 54.85|                11%|          R$ 49.41|              1000|           Nika Baby|                 N/A|              Bebês|                 N/A|            3.1|             130|\n",
      "|Kit 07 Camisetas ...|     R$ 199.99|                 0%|         R$ 199.99|              5000|        Vista Basics|50/50 Algodão e P...|          Masculino|                 N/A|            3.1|             684|\n",
      "|Calça De Brim Elá...|      R$ 76.90|                10%|          R$ 69.91|              5000|       CALÇA DE BRIM|               Sarja|          Masculino|     Primavera/Verão|            3.1|             259|\n",
      "|Calça Legging Plu...|      R$ 39.90|                 0%|          R$ 39.90|              1000|             Própria|           Poliéster|           Feminino|                 N/A|            3.1|             136|\n",
      "|Calça Jeans Origi...|     R$ 187.82|                11%|         R$ 169.21|              1000|              Sawary|     JEANS com lycra|           Feminino|      Outono/Inverno|            4.5|              87|\n",
      "|Kit Lote 6 Conjun...|     R$ 139.90|                 0%|         R$ 139.90|             10000|       AMANDIKA KIDS|                 N/A|            Meninas|                 N/A|            4.5|            1798|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 171.44|                43%|         R$ 119.89|              5000|               Zorba|             Algodão|          Masculino|                 N/A|            3.1|            1480|\n",
      "|Kit 3 Calça Mascu...|     R$ 180.15|                 0%|         R$ 180.15|             10000|         MultiMarcas|Jeans Que Estica ...|          Masculino|     Primavera/Verão|            3.1|            1329|\n",
      "|Kit 4 Conjuntos I...|     R$ 125.93|                 9%|         R$ 115.53|              1000|          AMEIXAKIDS|                 N/A|            Meninos|                 N/A|            3.1|             395|\n",
      "|Fita Dupla Face P...|     R$ 104.93|                46%|          R$ 71.87|              1000|Esquarcio Import ...|                 N/A|         Sem gênero|                 N/A|            4.5|              87|\n",
      "|Kit 2 Cuecas Boxe...|      R$ 90.99|                30%|          R$ 69.99|             10000|                Lupo|          Microfibra|          Masculino|     Primavera/Verão|            4.8|            1430|\n",
      "|Roupa Térmica Fla...|     R$ 219.70|                10%|         R$ 199.73|              1000|                  SM|           Poliéster|          Masculino|      Outono/Inverno|            4.3|             160|\n",
      "|Kit 5short Femini...|     R$ 175.99|                10%|         R$ 159.99|              1000|             Canario|             Algodão|           Feminino|     Primavera/Verão|            4.7|             118|\n",
      "|Kit 5 Conjuntos J...|     R$ 162.00|                20%|         R$ 135.00|              1000|            AMK KIDS|                 N/A|            Meninas|                 N/A|            4.3|             127|\n",
      "|Saída De Maternid...|     R$ 158.81|                14%|         R$ 139.31|              1000|           Nika Baby|                 N/A|              Bebês|                 N/A|            4.8|             399|\n",
      "|Pijama De Frio Fe...|     R$ 101.70|                30%|          R$ 78.23|              1000|Time Fitness Roup...|           Poliéster|           Feminino|      Outono/Inverno|            4.7|             228|\n",
      "|Kit 3 Short Jeans...|     R$ 140.83|                 9%|         R$ 129.20|              1000|        Menina Linda|                Jean|           Feminino|     Primavera/Verão|            4.4|             508|\n",
      "|Saida De Maternid...|      R$ 95.88|                 8%|          R$ 88.78|             10000|   Maribaby enxovais|                 N/A|              Bebês|                 N/A|            4.7|            2983|\n",
      "|2 Máscara De Prot...|      R$ 52.78|                34%|          R$ 39.39|              1000|                Lupo|                 N/A|                N/A|                 N/A|            4.9|              52|\n",
      "|Calça Jeans Lycra...|     R$ 124.90|                 0%|         R$ 124.90|              5000|                Rota|                Jean|          Masculino|      Outono/Inverno|            4.5|             518|\n",
      "|Body Bebê+mijão L...|      R$ 72.76|                 8%|          R$ 67.37|              5000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.3|             602|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            4.4|             388|\n",
      "|Kit 3 Calça Jeans...|     R$ 182.95|                 5%|         R$ 174.24|              1000|            Stillger|             Algodão|           Feminino|      Outono/Inverno|            4.3|             313|\n",
      "|Kit 4 Conjunto Mo...|     R$ 129.99|                 0%|         R$ 129.99|              1000|         Bebe Maluco|                 N/A|              Bebês|                 N/A|            4.3|             722|\n",
      "|Kit 2 Cuecas Box ...|      R$ 47.72|                10%|          R$ 43.38|              1000|               Zorba|             Algodão|          Masculino|                 N/A|            4.8|             292|\n",
      "|Kit Casal Mozao M...|      R$ 99.99|                 0%|          R$ 99.99|              1000|            Relaxado|           Poliéster|         Sem gênero|     Primavera/Verão|            4.5|              93|\n",
      "|Moletom Calça Juv...|      R$ 72.67|                 5%|          R$ 69.21|              1000|            Colbacho|             Algodão|Sem gênero infantil|      Outono/Inverno|            3.7|             168|\n",
      "|Roupas De Academi...|      R$ 39.89|                16%|          R$ 34.39|              1000|     Moda em Atacado|                 N/A|           Feminino|                 N/A|            4.5|             124|\n",
      "|Conjunto Mini Div...|      R$ 78.90|                 0%|          R$ 78.90|              1000|  Borboletinhas Kids|                 N/A|            Meninas|                 N/A|            4.7|             460|\n",
      "|Kit 10 Peças Roup...|     R$ 142.90|                10%|         R$ 129.91|              1000|        Imperio Kids|                 N/A|            Meninos|                 N/A|            4.4|             256|\n",
      "|Kit 2 Calças Jean...|     R$ 141.02|                 5%|         R$ 134.30|             10000|               Almix|                Jean|          Masculino|     Primavera/Verão|            4.6|            2147|\n",
      "|Kit 3 Calças Jogg...|     R$ 198.75|                 9%|         R$ 182.34|              1000|           gbgsports|               Sarja|          Masculino|      Outono/Inverno|            4.3|             779|\n",
      "|Body Bebê+mijão L...|      R$ 72.76|                 8%|          R$ 67.37|              5000|     Batutinhas Baby|                 N/A|              Bebês|                 N/A|            4.3|             602|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             424|\n",
      "|Kit 8 Peças De Ro...|     R$ 124.10|                10%|         R$ 112.82|              1000|        Imperio Kids|                 N/A|              Bebês|                 N/A|            4.4|             388|\n",
      "|Roupa Social Infa...|     R$ 131.99|                 0%|         R$ 131.99|              1000|         MultiMarcas|                 N/A|              Bebês|                 N/A|            4.8|             187|\n",
      "|Calça Legging Fit...|      R$ 29.90|                 0%|          R$ 29.90|              1000|                 B.E|              Suplex|           Feminino|                 N/A|            3.9|             155|\n",
      "|Roupa Infantil So...|     R$ 144.79|                 6%|         R$ 136.59|              1000|Poderoso Baby Mod...|                 N/A|              Bebês|                 N/A|            4.8|             424|\n",
      "|Organizador Neces...|      R$ 35.90|                 0%|          R$ 35.90|              5000|            Genérica|           Poliéster|         Sem gênero|                 N/A|            4.5|             453|\n",
      "|Roupa Apicultor E...|     R$ 189.90|                 0%|         R$ 189.90|              1000|       SR APICULTURA|           Poliéster|         Sem gênero|                 N/A|            4.1|             190|\n",
      "|Kit 4 Cuecas Boxe...|     R$ 109.68|                22%|          R$ 89.90|             10000|                Lupo|             Algodão|          Masculino|     Primavera/Verão|            4.6|            2387|\n",
      "|Kit 3 Calça Jeans...|     R$ 205.07|                 8%|         R$ 189.88|              5000|               Almix|               Jeans|          Masculino|     Primavera/Verão|            4.6|            1240|\n",
      "+--------------------+--------------+-------------------+------------------+------------------+--------------------+--------------------+-------------------+--------------------+---------------+----------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "roupasColNames = [\n",
    "    'titulo', \n",
    "    'preco_original', \n",
    "    'desconto_percentual', \n",
    "    'preco_com_desconto', \n",
    "    'quantidade_vendida', \n",
    "    'marca', \n",
    "    'material',\n",
    "    'genero',\n",
    "    'temporada',\n",
    "    'nota_satisfacao',\n",
    "    'quantidade_avals'\n",
    "]\n",
    "for index, colname in enumerate(roupasColNames):\n",
    "    roupas = roupas.withColumnRenamed(f\"_c{index}\", colname)\n",
    "roupas.printSchema()\n",
    "roupas.select(\"*\").where(roupas.quantidade_vendida >= 1000).show(999999)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 04:58:03.043\u001b[0m | \u001b[1mINFO    \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m38\u001b[0m - \u001b[1mCSV salvo em ./data/db_tratado.csv\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "import pyspark.sql\n",
    "from pyspark.sql.functions import col\n",
    "\n",
    "def pega_vendas_da_marca(company_name:str) -> pyspark.sql.dataframe.DataFrame :\n",
    "    return roupas.select(\"*\").where(col(\"marca\").contains(company_name))\n",
    "\n",
    "def salvar_csv_marcas_populares(path:str) -> None:\n",
    "    (dados_marcas_populares.toPandas()).to_csv(path)\n",
    "    \n",
    "path = \"./data/db_tratado.csv\"\n",
    "\n",
    "marcas_populares = [\n",
    "    \"adidas\",\n",
    "    \"Lupo\",\n",
    "    \"Mizuno\",\n",
    "    \"Mormaii\",\n",
    "    \"Fila\",\n",
    "    \"John John\"\n",
    "    \"Keeper\",\n",
    "    \"Levi's\",\n",
    "    \"Slim Fitness\",\n",
    "    \"New Era\",\n",
    "    \"Olympikus\",\n",
    "    \"Puma\",\n",
    "    \"Under Armour\"\n",
    "]\n",
    "\n",
    "# marcas_populares = [\n",
    "#     \"adidas\",\n",
    "#     \"Lupo\",\n",
    "#     \"Mizuno\",\n",
    "#     \"Mormaii\",\n",
    "#     \"Fila\",\n",
    "#     \"Zorba\",\n",
    "#     \"Menina Linda\",\n",
    "#     \"MultiMarcas\",\n",
    "#     \"Stillger Jeans\",\n",
    "#     \"Mash\",\n",
    "#     \"Keeper\",\n",
    "#     \"Almix\",\n",
    "#     \"Imperio Kids\",\n",
    "#     \"AMANDIKA KIDS\",\n",
    "#     \"Levi's\",\n",
    "#     \"Slim Fitness\",\n",
    "#     \"New Era\",\n",
    "#     \"Paraíso da Lingerie\",\n",
    "#     \"Importado\",\n",
    "#     \"Genérica\",\n",
    "#     \"Olympikus\",\n",
    "#     \"Puma\",\n",
    "#     \"Under Armour\"\n",
    "# ]\n",
    "\n",
    "vendas_marcas_populares = {\n",
    "    marca: pega_vendas_da_marca(marca) for marca in marcas_populares\n",
    "}\n",
    "dados_marcas_populares = vendas_marcas_populares[\"adidas\"]\n",
    "\n",
    "for marca in marcas_populares[1:]:\n",
    "    dados_marcas_populares  = dados_marcas_populares.union(vendas_marcas_populares[marca])\n",
    "    \n",
    "salvar_csv_marcas_populares(path)\n",
    "logger.info(f\"CSV salvo em {path}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Gráfico de comparação de quantidade vendida"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 04:58:09.113\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m27\u001b[0m - \u001b[34m\u001b[1mValores_y - grafico qtd/marca: [1160.0, 292032.0, 4.0, 10.0, 5.0, 0, 2661.0, 2000.0, 1.0, 130.0, 1008.0, 8.0]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "def soma_qtd_vendida(marca:str) -> float:\n",
    "    return sum([\n",
    "        float(row[0]) for row in\n",
    "        vendas_marcas_populares[marca].select(\"quantidade_vendida\").collect()\n",
    "    ])\n",
    "\n",
    "def monta_grafico_barra(x,y, color, titulo:str, rotation=0) -> None:\n",
    "    plt.figure(figsize=(10,10))\n",
    "    plt.title(titulo, fontsize=20)\n",
    "    plt.bar(x,y, color = color)\n",
    "    plt.xticks(rotation=rotation)\n",
    "    plt.show()\n",
    "    \n",
    "\n",
    "def monta_lista_cores(lista, cmap):\n",
    "    mini = min(lista)\n",
    "    maxi = max(lista)\n",
    "    norm = matplotlib.colors.Normalize(vmin=mini, vmax=maxi)\n",
    "    return [cmap(norm(i)) for i in lista]\n",
    "\n",
    "somas_vendas = [\n",
    "    soma_qtd_vendida(marca) for marca in vendas_marcas_populares\n",
    "]\n",
    "logger.debug(\"Valores_y - grafico qtd/marca: \" + str(somas_vendas))\n",
    "\n",
    "cmap = matplotlib.cm.BrBG\n",
    "colors = monta_lista_cores(somas_vendas, cmap)\n",
    "\n",
    "monta_grafico_barra(marcas_populares, somas_vendas, colors, \"Quantidade vendida em cada marca popular\", 80)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparação de lucros feitos por cada marca\n",
    "\n",
    "Pra fazer esse gráfico, o tamanho dos retânglos precisam ser porcentagens com relação ao preço máximodo dataset\n",
    "pra ter uma lista de lucros, eu preciso multiplicar o valor com desconto com a quantidade, dai somar esses valores de cada marca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 04:58:16.162\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m17\u001b[0m - \u001b[34m\u001b[1mlista_vendas: [207037.9, 33844741.46, 489.96, 510.95, 767.68, 0, 854481.87, 86000.0, 339.99, 15591.2, 161839.92, 1887.84]\u001b[0m\n",
      "\u001b[32m2023-10-10 04:58:16.165\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m23\u001b[0m - \u001b[34m\u001b[1mlista_de_porcentagens: [0.59, 96.22, 0.0, 0.0, 0.0, 0.0, 2.43, 0.24, 0.0, 0.04, 0.46, 0.01]\u001b[0m\n"
     ]
    },
    {
     "ename": "ZeroDivisionError",
     "evalue": "float division by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb Cell 12\u001b[0m line \u001b[0;36m3\n\u001b[1;32m     <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=35'>36</a>\u001b[0m cmap \u001b[39m=\u001b[39m matplotlib\u001b[39m.\u001b[39mcm\u001b[39m.\u001b[39mYlGnBu\n\u001b[1;32m     <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=36'>37</a>\u001b[0m colors \u001b[39m=\u001b[39m monta_lista_cores(lista_vendas, cmap)\n\u001b[0;32m---> <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=38'>39</a>\u001b[0m monta_grafico_squarify(sizes\u001b[39m=\u001b[39;49mlista_vendas, label\u001b[39m=\u001b[39;49mlegendas, color\u001b[39m=\u001b[39;49mcolors, titulo\u001b[39m=\u001b[39;49m\u001b[39m'\u001b[39;49m\u001b[39mComparação de lucros de cada marca\u001b[39;49m\u001b[39m'\u001b[39;49m)\n",
      "\u001b[1;32m/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb Cell 12\u001b[0m line \u001b[0;36m6\n\u001b[1;32m      <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mmonta_grafico_squarify\u001b[39m(sizes, label, color, titulo:\u001b[39mstr\u001b[39m) \u001b[39m-\u001b[39m\u001b[39m>\u001b[39m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m      <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=4'>5</a>\u001b[0m     plt\u001b[39m.\u001b[39mfigure(figsize\u001b[39m=\u001b[39m(\u001b[39m16\u001b[39m,\u001b[39m16\u001b[39m))\n\u001b[0;32m----> <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=5'>6</a>\u001b[0m     grafico \u001b[39m=\u001b[39m squarify\u001b[39m.\u001b[39;49mplot(sizes\u001b[39m=\u001b[39;49msizes,label\u001b[39m=\u001b[39;49mlabel,color\u001b[39m=\u001b[39;49mcolor)\n\u001b[1;32m      <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=6'>7</a>\u001b[0m     plt\u001b[39m.\u001b[39maxis(\u001b[39m'\u001b[39m\u001b[39moff\u001b[39m\u001b[39m'\u001b[39m);\n\u001b[1;32m      <a href='vscode-notebook-cell://wsl%2Bubuntu/home/thiago/spark/a3-dados-spark/a3-analise-dado.ipynb#X12sdnNjb2RlLXJlbW90ZQ%3D%3D?line=7'>8</a>\u001b[0m     plt\u001b[39m.\u001b[39mtitle(titulo, fontsize\u001b[39m=\u001b[39m\u001b[39m20\u001b[39m)\n",
      "File \u001b[0;32m~/.local/lib/python3.8/site-packages/squarify/__init__.py:246\u001b[0m, in \u001b[0;36mplot\u001b[0;34m(sizes, norm_x, norm_y, color, label, value, ax, pad, bar_kwargs, text_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m     rects \u001b[39m=\u001b[39m padded_squarify(normed, \u001b[39m0\u001b[39m, \u001b[39m0\u001b[39m, norm_x, norm_y)\n\u001b[1;32m    245\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[0;32m--> 246\u001b[0m     rects \u001b[39m=\u001b[39m squarify(normed, \u001b[39m0\u001b[39;49m, \u001b[39m0\u001b[39;49m, norm_x, norm_y)\n\u001b[1;32m    248\u001b[0m x \u001b[39m=\u001b[39m [rect[\u001b[39m\"\u001b[39m\u001b[39mx\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39mfor\u001b[39;00m rect \u001b[39min\u001b[39;00m rects]\n\u001b[1;32m    249\u001b[0m y \u001b[39m=\u001b[39m [rect[\u001b[39m\"\u001b[39m\u001b[39my\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39mfor\u001b[39;00m rect \u001b[39min\u001b[39;00m rects]\n",
      "File \u001b[0;32m~/.local/lib/python3.8/site-packages/squarify/__init__.py:136\u001b[0m, in \u001b[0;36msquarify\u001b[0;34m(sizes, x, y, dx, dy)\u001b[0m\n\u001b[1;32m    133\u001b[0m remaining \u001b[39m=\u001b[39m sizes[i:]\n\u001b[1;32m    135\u001b[0m (leftover_x, leftover_y, leftover_dx, leftover_dy) \u001b[39m=\u001b[39m leftover(current, x, y, dx, dy)\n\u001b[0;32m--> 136\u001b[0m \u001b[39mreturn\u001b[39;00m layout(current, x, y, dx, dy) \u001b[39m+\u001b[39m squarify(\n\u001b[1;32m    137\u001b[0m     remaining, leftover_x, leftover_y, leftover_dx, leftover_dy\n\u001b[1;32m    138\u001b[0m )\n",
      "File \u001b[0;32m~/.local/lib/python3.8/site-packages/squarify/__init__.py:128\u001b[0m, in \u001b[0;36msquarify\u001b[0;34m(sizes, x, y, dx, dy)\u001b[0m\n\u001b[1;32m    126\u001b[0m \u001b[39m# figure out where 'split' should be\u001b[39;00m\n\u001b[1;32m    127\u001b[0m i \u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n\u001b[0;32m--> 128\u001b[0m \u001b[39mwhile\u001b[39;00m i \u001b[39m<\u001b[39m \u001b[39mlen\u001b[39m(sizes) \u001b[39mand\u001b[39;00m worst_ratio(sizes[:i], x, y, dx, dy) \u001b[39m>\u001b[39m\u001b[39m=\u001b[39m worst_ratio(\n\u001b[1;32m    129\u001b[0m     sizes[: (i \u001b[39m+\u001b[39;49m \u001b[39m1\u001b[39;49m)], x, y, dx, dy\n\u001b[1;32m    130\u001b[0m ):\n\u001b[1;32m    131\u001b[0m     i \u001b[39m+\u001b[39m\u001b[39m=\u001b[39m \u001b[39m1\u001b[39m\n\u001b[1;32m    132\u001b[0m current \u001b[39m=\u001b[39m sizes[:i]\n",
      "File \u001b[0;32m~/.local/lib/python3.8/site-packages/squarify/__init__.py:84\u001b[0m, in \u001b[0;36mworst_ratio\u001b[0;34m(sizes, x, y, dx, dy)\u001b[0m\n\u001b[1;32m     82\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mworst_ratio\u001b[39m(sizes, x, y, dx, dy):\n\u001b[1;32m     83\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mmax\u001b[39m(\n\u001b[0;32m---> 84\u001b[0m         [\n\u001b[1;32m     85\u001b[0m             \u001b[39mmax\u001b[39m(rect[\u001b[39m\"\u001b[39m\u001b[39mdx\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m/\u001b[39m rect[\u001b[39m\"\u001b[39m\u001b[39mdy\u001b[39m\u001b[39m\"\u001b[39m], rect[\u001b[39m\"\u001b[39m\u001b[39mdy\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m/\u001b[39m rect[\u001b[39m\"\u001b[39m\u001b[39mdx\u001b[39m\u001b[39m\"\u001b[39m])\n\u001b[1;32m     86\u001b[0m             \u001b[39mfor\u001b[39;00m rect \u001b[39min\u001b[39;00m layout(sizes, x, y, dx, dy)\n\u001b[1;32m     87\u001b[0m         ]\n\u001b[1;32m     88\u001b[0m     )\n",
      "File \u001b[0;32m~/.local/lib/python3.8/site-packages/squarify/__init__.py:85\u001b[0m, in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     82\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mworst_ratio\u001b[39m(sizes, x, y, dx, dy):\n\u001b[1;32m     83\u001b[0m     \u001b[39mreturn\u001b[39;00m \u001b[39mmax\u001b[39m(\n\u001b[1;32m     84\u001b[0m         [\n\u001b[0;32m---> 85\u001b[0m             \u001b[39mmax\u001b[39m(rect[\u001b[39m\"\u001b[39m\u001b[39mdx\u001b[39m\u001b[39m\"\u001b[39m] \u001b[39m/\u001b[39m rect[\u001b[39m\"\u001b[39m\u001b[39mdy\u001b[39m\u001b[39m\"\u001b[39m], rect[\u001b[39m\"\u001b[39;49m\u001b[39mdy\u001b[39;49m\u001b[39m\"\u001b[39;49m] \u001b[39m/\u001b[39;49m rect[\u001b[39m\"\u001b[39;49m\u001b[39mdx\u001b[39;49m\u001b[39m\"\u001b[39;49m])\n\u001b[1;32m     86\u001b[0m             \u001b[39mfor\u001b[39;00m rect \u001b[39min\u001b[39;00m layout(sizes, x, y, dx, dy)\n\u001b[1;32m     87\u001b[0m         ]\n\u001b[1;32m     88\u001b[0m     )\n",
      "\u001b[0;31mZeroDivisionError\u001b[0m: float division by zero"
     ]
    },
    {
     "data": {
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ooYfq9NNPH62XABxEer6/+93vVn9/f33hC1/Y73m6urrq61//+pHcOvAu0vMNvHek57u9vb0eeeSRWrx4cZ155pk1ZcqUuvbaa+v6668frZcAHER6vm+66aZqamqqm266qV555ZX64Ac/WHPnzq1vfetbo/USgAN48skn68ILLxz6ubOzs6qqFi5cWPfdd1+9+uqrtXPnzqH//pGPfKTWr19fixcvrn/8x3+sD33oQ/W9732v5syZE123qdFw7zIAAAAAkHEbAQAAAAAQExYBAAAAgJiwCAAAAADEhEUAAAAAICYsAgAAAAAxYREAAAAAiAmLAAAAAEBMWAQAAAAAYsIiAAAAABATFgEAAACAmLAIAAAAAMSERQAAAAAg9v8AQksTJML9XZ4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import squarify\n",
    "\n",
    "def monta_grafico_squarify(sizes, label, color, titulo:str) -> None:\n",
    "    plt.figure(figsize=(16,16))\n",
    "    grafico = squarify.plot(sizes=sizes,label=label,color=color)\n",
    "    plt.axis('off');\n",
    "    plt.title(titulo, fontsize=20)\n",
    "    plt.tight_layout()\n",
    "\n",
    "lista_vendas = [\n",
    "    round(sum([\n",
    "        (float(row[0].replace(\"R$ \", \"\")) * float(row[1]) ) for row in\n",
    "        vendas_marcas_populares[marca].select(\"preco_com_desconto\", \"quantidade_vendida\" ).collect()\n",
    "    ]),2) for marca in vendas_marcas_populares\n",
    "]\n",
    "logger.debug(f\"lista_vendas: {lista_vendas}\")\n",
    "\n",
    "lista_de_porcentagens = [\n",
    "    round((item*100)/sum(lista_vendas),2) for item in\n",
    "    lista_vendas\n",
    "]\n",
    "logger.debug(f\"lista_de_porcentagens: {lista_de_porcentagens}\")\n",
    "\n",
    "legendas = [\n",
    "    (\n",
    "        marcas_populares[index]  + \" - \" + \n",
    "        \"(\"+ str(lista_de_porcentagens[index]) + \"%)\\n\" +\n",
    "        \"R$\" + str(lista_vendas[index]) + \"\\n\"\n",
    "        if float(lista_de_porcentagens[index]) > 1 else \"\"\n",
    "    ) for (index,item) in\n",
    "    enumerate(marcas_populares)\n",
    "]\n",
    "\n",
    "\n",
    "cmap = matplotlib.cm.YlGnBu\n",
    "colors = monta_lista_cores(lista_vendas, cmap)\n",
    "\n",
    "monta_grafico_squarify(sizes=lista_vendas, label=legendas, color=colors, titulo='Comparação de lucros de cada marca')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COMPARAÇÃO DE PREÇOS DOS ARTIGOS MAIS BARATOS DE CADA LOJA\n",
    "\n",
    "Pra fazer esse gráfico, o tamanho dos retânglos precisam ser porcentagens com relação ao preço mínimo da coluna de desconto\n",
    "### GRÁFICO MONTADO DE FORMA QUE OS CAMPOS MAIS CLAROS REPRESENTAM OS PREÇOS MAIS ACESSÍVEIS, ENQUANTO OS ESCUROS REPRESENTAM OS MAIS CAROS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 03:55:54.319\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m10\u001b[0m - \u001b[34m\u001b[1mLista preços - grafico preços acessíveis por marca: [119.99, 19.92, 99.99, 42.29, 119.99, 43.38, 29.9, 30.9, 41.99, 19.9, 42.11, 64.9, 112.82, 139.9, 299.0, 36.6, 339.99, 44.99, 32.18, 19.13, 78.99, 99.99, 119.9]\u001b[0m\n",
      "\u001b[32m2023-10-10 03:55:54.320\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m15\u001b[0m - \u001b[34m\u001b[1mLista preços - grafico preços acessíveis por marca: [119.99, 19.92, 99.99, 42.29, 119.99, 43.38, 29.9, 30.9, 41.99, 19.9, 42.11, 64.9, 112.82, 139.9, 299.0, 36.6, 339.99, 44.99, 32.18, 19.13, 78.99, 99.99, 119.9]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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XZ5CneW6YG6G0uFRZyVnaPG/zZeeOwc1DqAEAAAAAAAAAMKyy0jKtnLxSWSlZcnB2UFjjMA0aN0g2tjY37DMObzisH8b+oLBGYeo9pvcNqxfXj9dPAQAAAMD/8PopAAAAoPpU5vVT1lXfDAAAAAAAAAAAgD+OUAMAAGjIm99WdxMAALex+ePmV3cTgJuOfo+bgX6GPxP6My5gTg0AAP5k4nccVbe/fWZe9vVwVsu6ofrvUzFqFB74h+o+lZGr5z9erG0HUnQ4JVPPDGqr8c/0tSiz59hpvfrlCm0/kKITp7P1/tN99Oy97S3KnCso0iufL9f8dXt1JitPzSKDNf6ZvrqjbuhVP//jHzZo0g8bdTwtSzUCPPXiw531SK/m5u0lpWX671fxmhG3QylncxVdw1dvDotRTOuoP3TcAIDKO77tuKaPnG5edvZ0VnC9YHUf1V0BEQE37HOSdiZp2ohp8g/31/BZw83rt3y3RVu/36rs1GxJkn+4vzo+0VGR7SKvWNe+1fu0dtpaZSZnqry0XN5h3mr7YFs1uauJuUxxQbFWTFqh/Wv263zueXkGear1/a3VclDLG3ZMMK6q7Pf7Vu/T1u+3Ku1gmkqLS+Uf7q9OT3ZSRJsIc5mi/CKt/nS19q/Zr/ysfAVGBSpmdIxC6odcte7N8zZry7dblH0qWx4BHrpzyJ0W/R63lqrsZ0kJSVoxaYXSj6erpKhEHoEeajGwhdr+pa1Fuc3zNuuXr35RXkaeAiMD1XtMb4U0uHI/Kyst07pp67Rz8U7lns2Vbw1fdR/VXRFtI664D24P1X2/cGLHCf0y6xel7k9VXnqe7n/7ftXtVPea9V3rukmfvzkINQAA+JPaN3O03J0dlJqRqxc+WaLYf07Xwa/GyN6u4p//9Ox8PT95seJ3HNXprDyt331cTSODNev/7jOXuVhRcZn8PF300uAu+mDe+suWKSgqUXiQt+7p1FBjJi2+bJkn3/lee46d1vSX7lWwj7u+Wr5DPcd8rsRpzynEz+Oy+0z+caNemrpMnz4/UHfUDdXmfSf11Ls/yMvNSbHt6kmS/vX5cn21PEGfPj9QdWv4KW7LQd39r1laN2m4mkUGX+8pBAD8AaPmjZKDi4POnT2n5R8t1+zRs/XX7/4qG7uKCTsLsgu07INlOrbtmPIz85W0M0lBUUEVk3raXX1Sz8JzhZr/2nyFtwxXXmaexTZ3f3d1H9ld3mHekqSERQma+/e5emrmU/IP979sfU7uTrpzyJ3yrekrGzsbHVx3UD++/qNcvF3MD47jJsTp2LZjGvTaIHkGeerIpiNa9M4iufm6Kbpj9B89XfiTqIp+f2LHCYW3ClfXEV3l6OqohIUJmjNmjoZ+MVRB0UGSpAVvLNCZI2c0cOxAufm6adfSXZo5aqZGzh0pd3/3y9a75bstWvnxSsW+FKuQ+iFK2ZOiBW8ukKObo6LvpE/fyqqin9k52emOe+5QQGSA7B3tlbQzSQv/u1D2jvZqMbCFJClxeaKWfbBMfV7oo9AGodo4d6NmPTtLo74ZJRdvl8vWu+qTVdq9dLdiX4yVby1fHd54WF+/8LUen/q4uf/i9lZd9wvF54sVEBmgprFN9c0L31SqrZW5btLnbw5ePwUAwJ+Uv6eLAn3c1DwqRH+9p71OnsnR/qSz5u2jJy3Spr0nNf2le9W7dbQ+/ftAhQd7q7zcdMU6awV5acIzsXqkV3N5uDhetswddUP19ojeeqBbEzlc5ibzfFGJvl+zR/99KkYdm9RWRKiPXh3SXREhPvrkx01X/OyvliVoWGwr3d+1scKDvfVAtyZ6MraV3pn9s7nMrGU79OJDnXRXm2iFB3trRP826t0mWu9/va4ypwwAcAO5eLnI1cdVQXWD1PqB1so9nav04+nm7XHj45ScmKyBYwcqsl2kYl+MlWeIp0xX+XfogoX/XaiGPRsqtNGlI/yi74xWZPtI+dTwkU8NH3Ub0U32zvZKTky+Yn21WtRSvc715FfbT96h3mrzQBsFRAQoKSHJXObk7pNqclcT1WpRS57BnmoxsIUCIwKVsjflOs8M/syqot/HjI5R+8HtFVI/pKJPj+wmnzAfHVx7UJJUUliivav3qvuo7qrZrKa8w7zV+cnO8g711tbvt16x3l1LdqnFwBZq2KOhvEK81LBnQzUf0FzrZ1z+iyu4dVRFPwuKDlKjXo3kH+4vz2BPNe7dWHXa1LG4Dm6cs1HN+zdXs9hm8gv3U99/9pWdo512LNhxxXp3LdmlDo92UGT7SHmFeOmOu+9QZNtIbZi94cacDBhedd0vRLaLVNfhXVWvc71Kt7Uy1036/M1BqAEAwJ9cTl6hvl61S5Jkb/tryJBwKFWDezZTp6bh8nBxVJdmdfTfp2Lk6GBXpe0pLStXWXm5HO0tR4M42dtp/e4TV9yvqKT0MvvYavP+ZJWUlpnLONjbXVTGTut3H78xjQcAXLfCvELtWb5Hkiy+UXnq4Ck1vquxajWvJQdXB9VuWVs9RvWQrcPVXyiwY8EOZaVmqfPQztf87PKyciUuS1TJ+RKFNQyrVHtNJpOObjmqjBMZqtmspnl9WKMwHVx7ULlncmUymXRs6zFlnMxQndZ1KlUvbi83ut//lqncpKKCIjl5OEmq6OemMtMlddg62CppZ9LlqpAklRWXyfaieys7Bzul7E1R2f/urXBrq8p+durAKZ3cdVI1m1dcB8tKypS6P1XhrcLNZaysrRR+R7iSd185NC4rLru0bzpevW/i9lSd9wuVVZnrJn3+5uD1UwAA/EnVuPctSVJ+YbEkKbZ9PdWt+etrN9o1qqlpS7apcZ2bOwTWzdlBbRvU0H9mrFa9mv4K8HLVnJU7tWFvkiJCfK64X887IvX5oq3q36G+mkcFa9uBFH2+aKtKSsuUnpOvIB939bwjUhPmrVPHJrVUJ9hbK7cf0Q9r96isvPwmHiEAQJLej31fklRyvkRSxQgK31q+5u1hjcOUsDBBgZGVn+8pIylDKyet1JApQ2Rte+Xv6J0+fFqfD/1cpcWlsney1/1v3S+/cL+r1l2YV6j3+76vsuIyWdlYqc/f+1gEFr2f762Fby7U+NjxsraxlpW1lWJfirUIPoCq6PcX++WrX1R8vlgNujWQJDm4OCi0Uah+/uJn+dXyk4u3ixKXJSo5MVneod5XrKdOmzra8dMO1e1UV0F1g3Rq/ylt/3G7ykvLVZBdIDdft9/dRlStquxn7/d9XwXZBSovK1enoZ3UvH/F/HUF2QUylZkuec2Ui7eL0k+kX64qSRX9bOPsjarZtKa8Q711dMtR7Vu9r1LfssftoTrvF65XZa6b9Pmbg1ADAIA/qTUfDZOzg5027j2p/34Vr8mj+1tsf29kH735VbzGTFqkI6mZ2nn4lIb1a6Xh/VtXedumv3Svhr79ncLu+a9srK3VPCpYD3Rtou0Hr/wKj/97pKvSMvPUbuRkmUxSgLerHolprnfm/CxrKytJ0oRn+mrYOz+o/iPjZSUr1Qnx1mO9m+vLxduq/JgAAJaGfDpEdo52Sk5M1rpp69Tnn30stvd6rpfWTluruPFxykzJVNrBNLUc1PKKE2+Xl5Xr+1e+V+dhneVT48ohuCT51vTV8JnDVZhXqL2r9mr+uPl6bPJjVw02HJwdNHzmcBWfL9bRLUcV90GcvEK8VKtFLUnS5m82KzkxWQ+8+4A8Az11IuGEFr+zWG6+bhbfXMbt7Ub3+4vtjtutNZ+t0QPvPGDxcHng2IH66fWf9H7f92VlY6Wg6CA17NlQp/afumJdHR/vqLyMPH3+xOcyySRXb1c16dNEv8z8RVb/u7fCrakq+9mQKUNUXFCs5MRkrZy0Ut6h3mrUq9HvbmvM6BgteGOBJt0/SbKSvEO81bRvUyUsTPjddeLPpTrvF65XZa6b9Pmbg1ADAIA/qdqBXvJ0c1J0DT+dzc7TX16bq/gPh5m3uzjZ6/WhPfX60J4a+PJMxbSO0phJi2VtbaVhsa2qtG11Qny0+oNhyj9frNyCQgX5uOuB1+aodvCVv03o5GCnz1+4W5+MGaDTmXkK8nHTlIWb5ebsID/Pil/q/Txd9cN/BquwqEQZuQUK9nXXi1PiFH6VegEAVcMr2EuObo7yremr/Mx8ffvytxry6RDzdnsne3Ub0U3dRnTT3L/PVUTbCMVNiJOVlZV5UtrfKi4oVuq+VJ06eEqL310sqeI1PDJJ49qN0+APB6t2y9qSKl5bcWGi8OB6wUrdl6qNX29U7IuxV2yvlbWVeZ/AqEClH0/XuunrVKtFLZUUlmjl5JW6/637FdUhSpIUEBmgtINp+uWrXwg1YHaj+/1vJS5L1E//+Un3vnHvJX3OO9Rbj33ymIrPF6sov0huvm769uVv5RXsdcX67Bzt1P9f/dX3xb7Kz8iXq6+rts3fJntne7l4XX7SZ9waqrKfXegzAREBys/M15rP1qhRr0Zy9nSWlY2V8jPzLcrnZ+bL1dv1ivW5eLnogXceUGlRqQpyCuTm56YVk1ZctW/i9lKd9wvXqzLXTfr8zcGcGgAA3AZGDmijxGOn9cPaPZfd7unqpKf6tVZM6yit23X8prXLxcleQT7uyjp3Xss2H1K/9teepM3O1kah/h6ysbHWN6t2qU/baFlbW97SODrYKcTPQ6Vl5fp+TWKl6gUAVJ1W97bSmaNntC9+32W3O7o5quWglopsG2kxKe1vObg4aMTsERo+c7j5T8tBLeVT00fDZw5XSIOQK36+qdykspLrmyPAVG5SaUmpJKm8tFzlpeWysrb89rqVtRWvk8AV3Yh+f8HuuN368fUfdfe/7zYHa5dj72QvN183nc89r8MbDyu6Y/Q122ljayP3AHdZ21hrz/I9iuoQdUlfx63rRvazi/32OmhjZ6PgusE6uuWoxfajW45edhLmi9k62Mrd313lZeXat3pfpfombj/Vfb9QWZW5btLnqxYjNQAAuA04O9praN879NqXKzWgQ31ZWVlp9MRF6t+hnppGBKusvFyrdxzRzwnH9PLgLletK+FQqiQp73yxzubkK+FQquztbFS/VoAkqbikVHuPn6n4ubRMKem5SjiUKlcnB0WEVgz/jdt8UCaTFF3DV4dTMvTC5KWqW8NPQ3r/+k2bl6bEKSU9V9NfuleSdPBkujbvO6nW9cOUde68xn+zTonHTuvLf95r3mfT3pNKSc9R04hgpaTnaNy0lSo3mfT3BzreuJMJALhudo52at6/ueKnxqtup7qysrLS0vFLVbdTXQVGBcpUVjHx9vEdx9VxyOWv2VbWVvKv42+xzsXLRbb2thbrV0xaoch2kfII8FBRQZF2x+3W8e3H9fAHD5vL/DD2B7n5uan7090lSWunrVVwvWB5h3qrtLhUh345pF1LdqnPCxWvwHBwdVDN5jW1/KPlsnOwk0eQh05sP6FdS3ap57M9b/Tpwp/Ejej3UkWgMf+1+YoZHaPQhqHKy8iTVPHAzNHVUZJ0eONhyST51PRR5slMLf9ouXxr+qppbFNzPSsmrdC5s+c0cOxASRXvnE/Zk6KQBiEqPFeoDbM36MyRMxrwyoAqOye48W5UP9s8b7M8Aj3kW7NiLoMTCSf0y1e/qPX9v76ats1f2mj+uPkKrheskPoh2jh3o0oKS9S0b1NzmYuvr8mJyTp39pwCowKVeyZXaz5bI1O5Se0Ht6+aEwJDu5n3C8UFxcpMzjQvZ6VmKe1gmpzcneQR6CHp91036fM3B6EGAAC3iacHttH4b9ZpXvxu3delsWoEeOj5jxfrUHKG8guLtSbhmIbc1UKjBrW9aj0tnpxo/nnbwRTNWbFTNQM8dfTrf0iSUtPPWZR57+u1eu/rterUpLZWffCkJCknv1AvT12m5LM58nZz1qCODfT60J6ys7Ux73cq45xOns42L5eVl2v8N+t04GS67Gyt1blpuNZNHK5aQb8O4y0sLtErny/X0dQsuTrZq3ebaE1/6T55ujn9oXMHAPjjWt3bShtnb9TelXvVoHsDeQR6aNmEZco4maGSwhId335czWKbqdV9f+wViPlZ+frhtR+Ul54nB1cHBUQE6OEPHraY9DvndI7FNypLCku0+O3Fyj2bK1sHW/nW9NXA1waqYY+G5jL3vH6PVk5aqe9f/V7nc8/LI9BDXYd3rfRcCLg93Yh+v23+NpWXlWvxO4u1+J3F5vVN+jQxP0gryivSyo9XKvdMrpzcnVSvSz11HdFVNr+5t8rLyFPO6RzzcnlZuTbM3qD0E+mysbVRrRa19Phnj8sz2POGnwdUrRvRz0wmk1Z+vFLZqdmytrGWV6iXuo/qrpYDf73GNezRUAXZBYqfEq+8jDwFRgXqoQkPydXn19dPXXx9LS0u1apPVikrNUv2TvaKbBepgWMHytHNsWpOBgzvZt0vpO5L1fSR083LyyYsk2R5bf091036/M1hZTKZKjVWtnzNm1XdFgAAUE2GvPmtvnzxnupuBgBUu3FORdXdhNvS/HHz+XY4bjv0e9wM9DP8mdCfbw9jW429Zhnm1AAAAAAAAAAAAIbASA0AAAAA+B9GagAAAADVh5EaAAAAAAAAAADgT4NQAwAAAAAAAAAAGAKhBgAAAAAAAAAAMATb6m4AAAC4eSb/uFGf/rhZx9OyJEkNavnr/x7tqt6toyVJXZ+dqjU7j1nsMyy2lSaPGXDZ+kpKy/Svz5drycYDOnoqUx4ujurWIkJvDuulYF93c7ntB1P0z0/jtHV/smxsrDSoY0O9N/IuuTo7SJIycwv02JvfKn7HUUWG+uizF+5Ws8hg8/6jJvyo8CBvjb7/zht5OgAAN8GJHSf0y6xflLo/VXnpebr/7ftVt1NdSVJZaZlWfbJKh385rKyULDm4Oij8jnB1f7q73PzcrljnhAETlHMq55L1Le9uqT7/6GNePrn7pFZNXqWUPSmysrZSYFSgHv7gYdk52qm0uFQL/rNA+3/eL1cfV/X5Rx+Ftwo377t+5nrlnM7RXc/fdQPPBm4H5WXlip8ar91LdysvM09uvm5q0qeJOj7eUVZWVpfdZ/64+dq5aOcl6/1q+2nk3JGSpKL8Iq3+dLX2r9mv/Kx8BUYFKmZ0jELqh5jL/zLrF62ftV6S1H5we7V7qJ15W3Jisha/vVhDvxgqa1u+4/pnUJk+cbHj244r7oM4nT16Vu4B7uo4pKOa9m16XXXSz1AVquJ+Yct3W7T1+63KTs2WJPmH+6vjEx0V2S7SXGbaiGk6sf2ExX4tBrZQ33/2lSSdzzmv+ePm69i2Y/IJ81G//+unoOggc9lFby+SV4iXxd8DVD1CDQAAbiOhfh56Y1gvRYb6yGSSZsRt18CXZ2nb1FFqUDtAkjS07x16bUh38z7OjnZXrK+gsETbD6bq5Ue6qEmdIGWdO6+/TVyoAS/N1OYpT0uSUtNz1XPMF7qvSyN99GyscguKNHriQg3577eaN+4hSdIbs+KVV1CkrVNH6ZMfN+mpd34w779xT5I2703WB8/EVtVpAQBUoeLzxQqIDFDT2Kb65oVvLLaVFJYo7UCaOj7eUQGRASrMLdTS8Us15/k5GjZ92BXrfPLLJ2UqN5mXzxw5o5nPzFSDbg3M607uPqmvnv1KHR7toN7P95a1jbVOHzotK+uKh8rb5m9T6v5UPfH5Ezr8y2F998p3en7J87KyslJWapa2/7hdw6ZduQ3AlayfuV5bv9+qAa8MkH+4v1L3perH13+Uo6ujWt/f+rL7xIyOUfenf73/Ki8t1ycPf6L63eqb1y14Y4HOHDmjgWMHys3XTbuW7tLMUTM1cu5Iufu76/Sh01o9ZbUefP9BmUwmzRkzR3Va11FARIDKS8u16K1F6vtiXx40/4lcq09cLCs1S7NHz1aLQS006LVBOrb1mH564ye5+roqok1Epeqkn6GqVMX9gru/u7qP7C7vMG9JUsKiBM39+1w9NfMp+Yf7m8s1799cXZ7qYl62c/j1d+Cfp/2sooIiPTXjKW35bosWvLHA/JnJu5OVsidFvcf0viHnAJVHqAEAwG0ktl09i+XXh/bUJz9u0sa9J82hhrODnQJ9rvxtl9/ycHXUsvcet1j34bP91Gb4x0o6na0aAZ5auGG/7GytNfG5frK2rvjl5uPRA9T08Q91ODlDEaE+2nfijO7r2lhRYb56MvYOTV24WVLFSJCR7/+oKX8fKBsbfjECACOKbBdp8Y3I33J0ddTgjwZbrOv9fG99NuQz5aTlyCPQ47L7uXi5WCyvm75OXqFeqtm8pnld3Pg4tbqvlTo82sG8zremr/nn9OPpiu4YLf9wf3kFe2n5R8tVkF0gFy8XLXprkbqP6i4HV4frPl7g5K6Tiu4YragOUZIkz2BPJS5LVMrelCvu4+jqKLn+urx/zX6dP3fe/A36ksIS7V29Vw+8/YBqNqvo552f7KyDaw9q6/db1XV4V6WfSFdARIBqt6wtSQqICDCvWz9rvWo0rXHVb/DDWCrTJy629fut8gz2VK9ne0mqGAmUlJCkjXM2KqJNBP0M1aoq7hei74y2WO42opu2fr9VyYnJFqGGnaOdXH1cL95dkpR+LF0NezSUTw0ftRjQQtvnb5dUMXpk4VsL1e/lfrLmd9WbjjMOAMBtqqysXHNX7lR+YbHaNggzr5+9IkH+/V5X48cm6KUpcSooLL6uenPyCmVlZSVPV0dJUnFJqextbc2BhiQ52Vd882Xd7uOSpCZ1grR6xxGVlpZp2eZDahweKEl6Z87P6tS0tlrWDf0jhwoAMJCivCLJ6n8PeSuhrKRMu5buUrPYZuZX++Rn5itlT4pcvF30+dDP9W7Mu5o2fJqSEpLM+wVEBCgpIUklhSU6sumIXH1d5ezprF1Ld8nW3lb1Ote70kcCVxXWOEzHth5TRlKGJCntYJqSdiYpom1EpevY8dMOhd8RLs8gT0kVr7QylZlk62D53VRbB1sl7azo1/51/JVxMkM5aTnKPpWtjKQM+Yf7KzM5UwkLEy77kBvGVZk+cbHk3ckKvyPcYl2dNnWUvDu50nXSz3CruN77hfKyciUuS1TJ+RKFNQyz2LY7brfe7vm2Pv7Lx1oxaYVKCkvM2wIiA3Rs6zGVl5bryMYjCoio+DLg+pnrVat5LQXXCxZuPkZqAABwm9l9NE3tR36iwuJSuTrZ67t/P6z6tSpuzB7o3kQ1AzwV7OuuXUfS9OKnS3Xg5Fl99++HK1V3YVGJXpyyVA90ayx3l4qbyy7N6mjMpMV6d+7P+uvd7ZRfWFFGktIyz0mSXniwk0aOn6/Ih95TrUBPTf3HIB1KTteMuO1aP2mERrw3X8u3HlKL6BBNeX6QPCp54woAMJbSolKtmLhCjXo2qvQoif1r9qswr1BN+zQ1r8tKqZg7as3UNerx1x4KjArUzsU7NWPUDI2YPUI+NXzUrF8znT58Wh8/8LGcPZ1173/uVWFuoeKnxOvRyY9q1SerlLg8Ud4h3ur3f/0u+yoX4HI6PNJBRflFmnjfRFlbW6u8vFxdh3dV45jGldr/3NlzOrThkO4ed7d5nYOLg0IbhernL36WXy0/uXi7KHFZopITk+UdWvFaFb/afuo2optmPjNTktRtZDf51fbTjFEz1OOZHjqy8YjiP4uXja2NYkbHmL+JD2OqTJ+4WF5Gnly8LUe6uXq7qii/SCWFJfQzGMb13C+cPnxanw/9XKXFpbJ3stf9b90vv3A/8/ZGPRvJI8hDbr5uOn34tFZMXKGMpAzd/9b9kqQOj3bQorcW6cO7P5RnkKf6vdxPGUkZ2rlop574/Akt/O9CHdl0RMH1ghX7UmylQxb8MYQaAADcZqLDfLX9s2eUk1+o79Ykasib87T6gydVv1aAhsW2MpdrFB6oIB839Rj9uY6kZKhOiM9V6y0pLdP9r82RySR9/Lf+5vUNagfoyxfv0fOTFuulKctkY2OlZwa1U4CXq6z/941aD1dHffWvByzq6/63z/TW8N6avSJBR09lat/M0Rr2zg/694x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      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import squarify\n",
    "\n",
    "lista_precos = [\n",
    "    min([\n",
    "        float(row[0].replace(\"R$ \", \"\")) for row in\n",
    "        vendas_marcas_populares[item].select(\"preco_com_desconto\").collect()\n",
    "    ]) for item in vendas_marcas_populares\n",
    "]\n",
    "logger.debug(\"Lista preços - grafico preços acessíveis por marca: \" + str(lista_precos))\n",
    "lista_de_porcentagens = [\n",
    "    round((item*100)/max(lista_precos),2) for item in\n",
    "    lista_precos\n",
    "]\n",
    "logger.debug(\"Lista preços - grafico preços acessíveis por marca: \" + str(lista_precos))\n",
    "legendas = [\n",
    "    (marcas_populares[index][:10] + \"...\\n\" if len(marcas_populares[index]) > 10 else marcas_populares[index] + \"\\n\") +\n",
    "    \" R$ \" + str(lista_precos[index])  + \"\\n\" +\n",
    "    str(lista_de_porcentagens[index]) + \"%\" for (index,item) in\n",
    "    enumerate(marcas_populares)\n",
    "]\n",
    "\n",
    "cmap = matplotlib.cm.Accent\n",
    "colors = monta_lista_cores(lista_precos,cmap)\n",
    "\n",
    "monta_grafico_squarify(sizes=lista_precos, label=legendas, color=colors, titulo='Comparação de preços mais acessíveis em cada marca')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COMPARAÇÃO DE AVALIAÇÕES ENTRE MARCAS\n",
    "\n",
    "Existem 5 marcas dentro da amostra escolhida que não possuem nenhuma avaliação. Por isso, foi necessário considerar o valor delas como zero no gráfico, por fins de comparação, porém na verdade seria interessante adquirir mais dados dessas marcas para melhores resultados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 05:08:36.949\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m19\u001b[0m - \u001b[34m\u001b[1mmedia das avaliações: [2.0083333333333337, 3.3419354838709667, 0.0, 0.0, 0.0, 0.0, 3.28, 3.8333333333333335, 0.0, 2.94, 0.775, 0.0]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "import numpy as np\n",
    "\n",
    "def monta_barras_horizontais(eixo_y, eixo_x, colors, label_x) -> None:\n",
    "    fig, ax = plt.subplots()\n",
    "    y_pos = np.arange(len(eixo_y))\n",
    "    ax.barh(y_pos, eixo_x, color=colors)\n",
    "    ax.set_yticks(y_pos, eixo_y)\n",
    "    ax.invert_yaxis()  # labels de cima pra baixo\n",
    "    ax.set_xlabel(label_x)\n",
    "\n",
    "media_notas = [\n",
    "    sum([\n",
    "        (float(row[0]) if row[0] != \"Sem avaliação\" else 0) for row in\n",
    "        vendas_marcas_populares[item].select(\"nota_satisfacao\").collect()\n",
    "    ])/(len(vendas_marcas_populares[item].select(\"nota_satisfacao\").collect()) if len(vendas_marcas_populares[item].select(\"nota_satisfacao\").collect())  != 0 else 1)\n",
    "    for item in vendas_marcas_populares\n",
    "]\n",
    "logger.debug(\"media das avaliações: \" + str(media_notas))\n",
    "# Definindo a paleta de cores para o treemap\n",
    "cmap = matplotlib.cm.plasma\n",
    "colors = monta_lista_cores(media_notas, cmap)\n",
    "\n",
    "monta_barras_horizontais(marcas_populares, media_notas, colors, 'Média das avaliações do cliente')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparação de vendas dependendo da categoria de moda\n",
    "\n",
    "Dentro do dataset, existem diversas categorias de modas, de diversas idades. Por conta disso, esse gráfico visa comparar o fluxo de vendas de cada uma dessas categorias, para averiguar qual delas é  a mais popular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 05:03:31.519\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m15\u001b[0m - \u001b[34m\u001b[1mqtd em cada marca p/ categorias de moda: [2001.0, 1100.0, 2730.0, 58005.0, 235183.0]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from typing import List\n",
    "\n",
    "categorias_moda = [\n",
    "    row[0] for row in dados_marcas_populares.select(\"genero\").distinct().collect()\n",
    "]\n",
    "\n",
    "def soma_qtd_vendida_em_cada_marca_filtrando(categoria_moda:str)-> List[float]:\n",
    "    return [sum([float(row[0]) for row in \n",
    "    vendas_marcas_populares[marca].select(\"quantidade_vendida\").where(vendas_marcas_populares[marca].genero == categoria_moda).collect()]) for marca in\n",
    "    marcas_populares]\n",
    "\n",
    "quantidade_vendida_em_cada_marca =[\n",
    "    round(sum(soma_qtd_vendida_em_cada_marca_filtrando(categoria)),2) for categoria in categorias_moda\n",
    "]\n",
    "logger.debug(\"qtd em cada marca p/ categorias de moda: \" + str(quantidade_vendida_em_cada_marca) )\n",
    "cmap = matplotlib.cm.BrBG\n",
    "colors = monta_lista_cores(quantidade_vendida_em_cada_marca, cmap)\n",
    "\n",
    "monta_grafico_barra(categorias_moda, quantidade_vendida_em_cada_marca, colors, \"Quantidade vendida para cada categoria de moda disponível\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparação de vendas em cada temporada\n",
    ", cada um com uma temporada específica. Por isso, esse gráfico compara esses dados para saber qual delas saiu com mais frequência"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[32m2023-10-10 05:03:44.470\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m21\u001b[0m - \u001b[34m\u001b[1mlista categorias sem especif. [63711.0, 7855.0, 0]\u001b[0m\n",
      "\u001b[32m2023-10-10 05:03:46.369\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m25\u001b[0m - \u001b[34m\u001b[1mlista qtd antes de add [141208.0, 57736.0]\u001b[0m\n",
      "\u001b[32m2023-10-10 05:03:46.371\u001b[0m | \u001b[34m\u001b[1mDEBUG   \u001b[0m | \u001b[36m__main__\u001b[0m:\u001b[36m<module>\u001b[0m:\u001b[36m32\u001b[0m - \u001b[34m\u001b[1mlista qtd dps de add [141208.0, 57736.0, 71566.0]\u001b[0m\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "\n",
    "def soma_qtd_vendida_em_cada_marca_filtrando(temporada:str)-> List[float]:\n",
    "    return [sum([float(row[0]) for row in \n",
    "    vendas_marcas_populares[marca].select(\"quantidade_vendida\").where(vendas_marcas_populares[marca].temporada == temporada).collect()]) for marca in\n",
    "    marcas_populares]\n",
    "\n",
    "\n",
    "temporadas = [\n",
    "    \"Primavera/Verão\",\n",
    "    \"Outono/Inverno\",\n",
    "]\n",
    "categorias_nao_especificas = [\n",
    "    \"N/A\",\n",
    "    \"Primavera-verão Outono-inverno\",\n",
    "    \"Primavera/Verão Outono/Inverno\"\n",
    "]\n",
    "lista_cats_na = [\n",
    "    round(sum(soma_qtd_vendida_em_cada_marca_filtrando(temporada)),2) for temporada in categorias_nao_especificas\n",
    "]\n",
    "logger.debug(\"lista categorias sem especif. \" + str(lista_cats_na))\n",
    "lista_qtd_cada_marca = [\n",
    "    round(sum(soma_qtd_vendida_em_cada_marca_filtrando(temporada)),2) for temporada in temporadas\n",
    "]\n",
    "logger.debug(\"lista qtd antes de add \" + str(lista_qtd_cada_marca))\n",
    "# Com essa adição, agora ficam 3 categorias:\n",
    "# \"Primavera/Verão\",\n",
    "# \"Outono/Inverno\",\n",
    "# \"Sem temporada específica\",\n",
    "lista_qtd_cada_marca.append(sum(lista_cats_na))\n",
    "temporadas.append(\"Sem temporada específica\\n(Pijamas e Acessórios)\")\n",
    "logger.debug(\"lista qtd dps de add \" + str(lista_qtd_cada_marca))\n",
    "\n",
    "cmap = matplotlib.cm.BrBG\n",
    "colors = monta_lista_cores(lista_qtd_cada_marca, cmap)\n",
    "\n",
    "monta_grafico_barra(temporadas, lista_qtd_cada_marca, colors, \"Quantidade vendida para cada temporada\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparação de popularidade dos produtos\n",
    "\n",
    "A fim de descobrir qual, dentre todos os produtos, foi o carro chefe de vendas nesse período, o gráfico a seguir compara a popularidade a partir da quantidade vendida"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------------------+--------------+-------------------+------------------+------------------+------+---------+---------+---------------+---------------+----------------+\n",
      "|              titulo|preco_original|desconto_percentual|preco_com_desconto|quantidade_vendida| marca| material|   genero|      temporada|nota_satisfacao|quantidade_avals|\n",
      "+--------------------+--------------+-------------------+------------------+------------------+------+---------+---------+---------------+---------------+----------------+\n",
      "|Short Saia Femini...|     R$ 312.79|                36%|         R$ 229.99|                 1|adidas| Elastano| Feminino| Outono/Inverno|  Sem avaliação|               0|\n",
      "|Short Masculino a...|     R$ 349.99|                 0%|         R$ 349.99|                 4|adidas| Elastano|Masculino| Outono/Inverno|  Sem avaliação|               0|\n",
      "|Bermuda Masculina...|     R$ 169.99|                 0%|         R$ 169.99|                 1|adidas|Reciclado|Masculino| Outono/Inverno|  Sem avaliação|               0|\n",
      "|Shorts Masculino ...|     R$ 259.99|                30%|         R$ 199.99|               100|adidas|Poliéster|Masculino|Primavera/Verão|            3.1|              19|\n",
      "+--------------------+--------------+-------------------+------------------+------------------+------+---------+---------+---------------+---------------+----------------+\n",
      "only showing top 4 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dados_marcas_populares.show(4)\n",
    "\n",
    "titulos = [\n",
    "    (row[0] + \" - \"+ str(row[2])) for row in \n",
    "    dados_marcas_populares.select(\"titulo\", \"quantidade_vendida\", \"nota_satisfacao\").distinct().where(dados_marcas_populares.quantidade_vendida >= 10000).collect()\n",
    "]\n",
    "titulos\n",
    "pontuacoes = [\n",
    "    (float(row[1]) * (float(row[2]) if (row[2] != \"Sem avaliação\" and float(row[2]) !=0) else 1)) for row in \n",
    "    dados_marcas_populares.select(\"titulo\", \"quantidade_vendida\", \"nota_satisfacao\").distinct().where(dados_marcas_populares.quantidade_vendida >= 10000).collect()\n",
    "]\n",
    "cmap = matplotlib.cm.Accent\n",
    "colors = monta_lista_cores(pontuacoes,cmap)\n",
    "monta_barras_horizontais(titulos, pontuacoes, colors, 'Quantidade vendida')\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}