{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 9</font>\n",
    "\n",
    "## Download: http://github.com/dsacademybr\n",
    "\n",
    "## Mini-Projeto 2 - Análise Exploratória em Conjunto de Dados do Kaggle\n",
    "\n",
    "## Análise 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Imports\n",
    "import os\n",
    "import subprocess\n",
    "import stat\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "sns.set(style=\"white\")\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dataset\n",
    "clean_data_path = \"dataset/autos.csv\"\n",
    "df = pd.read_csv(clean_data_path,encoding=\"latin-1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preço médio do veículo por tipo de combustível e tipo de caixa de câmbio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a16272898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Crie um Barplot com o Preço médio do veículo por tipo de combustível e tipo de caixa de câmbio\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "colors = [\"#00e600\", \"#ff8c1a\",\"#a180cc\"]\n",
    "sns.barplot(x=\"fuelType\", y=\"price\",hue=\"gearbox\", palette=\"husl\",data=df)\n",
    "ax.set_title(\"Preço médio do veículo por tipo de combustível e tipo de caixa de câmbio\",fontdict= {'size':12})\n",
    "ax.xaxis.set_label_text(\"Tipo de Combustível\",fontdict= {'size':14})\n",
    "ax.yaxis.set_label_text(\"Preço Médio\",fontdict= {'size':14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Salvando o plot\n",
    "fig.savefig(\"plots/Analise3/fueltype-vehicleType-price.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Potência média de um veículo por tipo de veículo e tipo de caixa de câmbio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1072b0470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Crie um Barplot com a Potência média de um veículo por tipo de veículo e tipo de caixa de câmbio\n",
    "colors = [\"windows blue\", \"amber\", \"greyish\", \"faded green\", \"dusty purple\"]\n",
    "fig, ax = plt.subplots(figsize=(8,5))\n",
    "sns.set_palette(sns.xkcd_palette(colors))\n",
    "sns.barplot(x=\"vehicleType\", y=\"powerPS\",hue=\"gearbox\",data=df)\n",
    "ax.set_title(\"Potência média de um veículo por tipo de veículo e tipo de caixa de câmbio\",fontdict= {'size':12})\n",
    "ax.xaxis.set_label_text(\"Tipo de Veículo\",fontdict= {'size':14})\n",
    "ax.yaxis.set_label_text(\"Potência Média\",fontdict= {'size':14})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Salvando o plot\n",
    "fig.savefig(\"plots/Analise3/vehicletype-fueltype-power.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conheça a Formação Cientista de Dados, um programa completo, 100% online e 100% em português, com 340 horas, mais de 1.200 aulas em vídeos e 26 projetos, que vão ajudá-lo a se tornar um dos profissionais mais cobiçados do mercado de análise de dados. Clique no link abaixo, faça sua inscrição, comece hoje mesmo e aumente sua empregabilidade:\n",
    "\n",
    "https://www.datascienceacademy.com.br/pages/formacao-cientista-de-dados"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Fim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obrigado - Data Science Academy - <a href=\"http://facebook.com/dsacademybr\">facebook.com/dsacademybr</a>"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
