DSA-Python-Cap06-09-Mini-Projeto1.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <font color='blue'>Data Science Academy - Python Fundamentos - Capítulo 6</font>\n",
    "\n",
    "## Download: http://github.com/dsacademybr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mini-Projeto 1 - Guia de Análise Exploratória de Dados com Python e Linguagem SQL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![title](imagens/mini-projeto1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Neste Mini-Projeto vamos apresentar um guia básico de análise exploratória de dados usando Linguagem Python, Linguagem SQL e Banco de Dados SQLite. Usaremos dados reais disponíveis publicamente, dados sobre filmes no <a href=\"https://www.imdb.com/interfaces/\">IMDB</a>.\n",
    "\n",
    "Guias avançados de Análise Exploratória de Dados são fornecidos na <a href=\"https://www.datascienceacademy.com.br/bundle/formacao-cientista-de-dados\">Formação Cientista de Dados</a>.\n",
    "\n",
    "Para aprender mais sobre Linguagem SQL:\n",
    "\n",
    "- <a href=\"https://www.datascienceacademy.com.br/path-player?courseid=microsoft-power-bi-para-data-science\">SQL Analytics Básico</a>\n",
    "- <a href=\"https://www.datascienceacademy.com.br/course/modelagem-de-banco-de-dados-relacionais-nao-relacionais-e-data-stores\">SQL Analytics Avançado</a>\n",
    "\n",
    "Ao aplicar Análise Exploratória de Dados vamos responder a estas 10 perguntas:\n",
    "\n",
    "- 1- Quais São as Categorias de Filmes Mais Comuns no IMDB?\n",
    "- 2- Qual o Número de Títulos Por Gênero?\n",
    "- 3- Qual a Mediana de Avaliação dos Filmes Por Gênero?\n",
    "- 4- Qual a Mediana de Avaliação dos Filmes Em Relação ao Ano de Estréia?\n",
    "- 5- Qual o Número de Filmes Avaliados Por Gênero Em Relação ao Ano de Estréia?\n",
    "- 6- Qual o Filme Com Maior Tempo de Duração? Calcule os Percentis.\n",
    "- 7- Qual a Relação Entre Duração e Gênero?\n",
    "- 8- Qual o Número de Filmes Produzidos Por País?\n",
    "- 9- Quais São os Top 10 Melhores Filmes?\n",
    "- 10- Quais São os Top 10 Piores Filmes?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Instalando e Carregando Pacotes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Versão da Linguagem Python\n",
    "from platform import python_version\n",
    "print('Versão da Linguagem Python Usada Neste Jupyter Notebook:', python_version())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://pypi.org/\n",
    "\n",
    "https://pypi.org/project/imdb-sqlite/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 4275,
     "status": "ok",
     "timestamp": 1622091434937,
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   },
   "outputs": [],
   "source": [
    "# Instala o pacote\n",
    "!pip install -q imdb-sqlite"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agora executamos o pacote para download dos datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instala o pacote\n",
    "# https://pypi.org/project/pycountry/\n",
    "!pip install -q pycountry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "KwrZ9EWy02p7"
   },
   "outputs": [],
   "source": [
    "# Imports\n",
    "import re\n",
    "import time\n",
    "import sqlite3\n",
    "import pycountry\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from matplotlib import cm\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "sns.set_theme(style = \"whitegrid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yebFAbpYviBJ"
   },
   "source": [
    "## Carregando os Dados\n",
    "\n",
    "Primeiro temos que baixar os dados!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1126675,
     "status": "ok",
     "timestamp": 1622092561602,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "18JO-2JAwLf8",
    "outputId": "b4187b50-982a-4376-e43b-e9c6a2e56384"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 341 ms\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2022-11-23 17:17:19,864 DB already exists: (imdb.db). Refusing to modify. Exiting\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "!imdb-sqlite"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "GCynwX5SFUt8"
   },
   "outputs": [],
   "source": [
    "# Conecta no banco de dados\n",
    "conn = sqlite3.connect(\"imdb.db\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "ODFg_X23F0Yu"
   },
   "outputs": [],
   "source": [
    "# Extrai a lista de tabelas\n",
    "tabelas = pd.read_sql_query(\"SELECT NAME AS 'Table_Name' FROM sqlite_master WHERE type = 'table'\", conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tipo do objeto\n",
    "type(tabelas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "  Table_Name\n",
       "0     people\n",
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       "2       akas\n",
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   "source": [
    "# Visualiza o resultado\n",
    "tabelas.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vamos converter o dataframe em uma lista\n",
    "tabelas = tabelas[\"Table_Name\"].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
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    "executionInfo": {
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Esquema da tabela: people\n"
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       "   cid       name     type  notnull dflt_value  pk\n",
       "0    0  person_id  VARCHAR        0       None   1\n",
       "1    1       name  VARCHAR        0       None   0\n",
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     "text": [
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Esquema da tabela: titles\n"
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      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Esquema da tabela: akas\n"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Esquema da tabela: crew\n"
     ]
    },
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       "   cid        name     type  notnull dflt_value  pk\n",
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     "text": [
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Esquema da tabela: episodes\n"
     ]
    },
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       "   cid              name     type  notnull dflt_value  pk\n",
       "0    0  episode_title_id  INTEGER        0       None   0\n",
       "1    1     show_title_id  INTEGER        0       None   0\n",
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     "output_type": "stream",
     "text": [
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n",
      "Esquema da tabela: ratings\n"
     ]
    },
    {
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       "   cid      name     type  notnull dflt_value  pk\n",
       "0    0  title_id  VARCHAR        0       None   1\n",
       "1    1    rating  INTEGER        0       None   0\n",
       "2    2     votes  INTEGER        0       None   0"
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     "output_type": "stream",
     "text": [
      "----------------------------------------------------------------------------------------------------\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Vamos percorrer a lista de tabelas no banco de dados e extrair o esquema de cada uma\n",
    "for tabela in tabelas:\n",
    "    consulta = \"PRAGMA TABLE_INFO({})\".format(tabela)\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    print(\"Esquema da tabela:\", tabela)\n",
    "    display(resultado)\n",
    "    print(\"-\"*100)\n",
    "    print(\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Agora começamos a Análise Exploratória dos Dados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "m6W_XSp3yBSL"
   },
   "source": [
    "## 1- Quais São as Categorias de Filmes Mais Comuns no IMDB?\n",
    "\n",
    "Quais são os principais tipos (categorias) dos títulos (filmes)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "72tvpOmJGTni"
   },
   "outputs": [],
   "source": [
    "# Cria a consulta SQL\n",
    "consulta1 = '''SELECT type, COUNT(*) AS COUNT FROM titles GROUP BY type''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extrai o resultado\n",
    "resultado1 = pd.read_sql_query(consulta1, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 343
    },
    "executionInfo": {
     "elapsed": 524,
     "status": "ok",
     "timestamp": 1622092926334,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "HYgZRXHyRcK1",
    "outputId": "35c853a5-5780-41ab-f638-35575c8d69fc"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>type</th>\n",
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       "      <th>1</th>\n",
       "      <td>short</td>\n",
       "      <td>901062</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tvEpisode</td>\n",
       "      <td>7091360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>tvMiniSeries</td>\n",
       "      <td>46065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tvMovie</td>\n",
       "      <td>138357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tvPilot</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>tvSeries</td>\n",
       "      <td>234495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tvShort</td>\n",
       "      <td>10746</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tvSpecial</td>\n",
       "      <td>39207</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>video</td>\n",
       "      <td>267519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>videoGame</td>\n",
       "      <td>32838</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            type    COUNT\n",
       "0          movie   627705\n",
       "1          short   901062\n",
       "2      tvEpisode  7091360\n",
       "3   tvMiniSeries    46065\n",
       "4        tvMovie   138357\n",
       "5        tvPilot        2\n",
       "6       tvSeries   234495\n",
       "7        tvShort    10746\n",
       "8      tvSpecial    39207\n",
       "9          video   267519\n",
       "10     videoGame    32838"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualiza o resultado\n",
    "display(resultado1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "oUsal5PCh701"
   },
   "outputs": [],
   "source": [
    "# Vamos calcular o percentual para cada tipo\n",
    "resultado1['percentual'] = (resultado1['COUNT'] / resultado1['COUNT'].sum()) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
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       "      <td>tvEpisode</td>\n",
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       "      <th>3</th>\n",
       "      <td>tvMiniSeries</td>\n",
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       "      <td>0.490609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>tvMovie</td>\n",
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       "      <td>1.473552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>tvPilot</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>tvSeries</td>\n",
       "      <td>234495</td>\n",
       "      <td>2.497456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>tvShort</td>\n",
       "      <td>10746</td>\n",
       "      <td>0.114449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>tvSpecial</td>\n",
       "      <td>39207</td>\n",
       "      <td>0.417569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>video</td>\n",
       "      <td>267519</td>\n",
       "      <td>2.849173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>videoGame</td>\n",
       "      <td>32838</td>\n",
       "      <td>0.349736</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            type    COUNT  percentual\n",
       "0          movie   627705    6.685283\n",
       "1          short   901062    9.596633\n",
       "2      tvEpisode  7091360   75.525521\n",
       "3   tvMiniSeries    46065    0.490609\n",
       "4        tvMovie   138357    1.473552\n",
       "5        tvPilot        2    0.000021\n",
       "6       tvSeries   234495    2.497456\n",
       "7        tvShort    10746    0.114449\n",
       "8      tvSpecial    39207    0.417569\n",
       "9          video   267519    2.849173\n",
       "10     videoGame    32838    0.349736"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualiza o resultado\n",
    "display(resultado1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "oWJrmfjHyBpW"
   },
   "outputs": [],
   "source": [
    "# Vamos criar um gráfico com apenas 4 categorias:\n",
    "# As 3 categorias com mais títulos e 1 categoria com todo o restante\n",
    "\n",
    "# Cria um dicionário vazio\n",
    "others = {}\n",
    "\n",
    "# Filtra o percentual em 5% e soma o total\n",
    "others['COUNT'] = resultado1[resultado1['percentual'] < 5]['COUNT'].sum()\n",
    "\n",
    "# Grava o percentual\n",
    "others['percentual'] = resultado1[resultado1['percentual'] < 5]['percentual'].sum()\n",
    "\n",
    "# Ajusta o nome\n",
    "others['type'] = 'others'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'COUNT': 769229, 'percentual': 8.192564005454686, 'type': 'others'}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "H7WDZkbeyHz7"
   },
   "outputs": [],
   "source": [
    "# Filtra o dataframe de resultado\n",
    "resultado1 = resultado1[resultado1['percentual'] > 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Append com o dataframe de outras categorias\n",
    "resultado1 = resultado1.append(others, ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "K5mJGmqMyMaf"
   },
   "outputs": [],
   "source": [
    "# Ordena o resultado\n",
    "resultado1 = resultado1.sort_values(by = 'COUNT', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>COUNT</th>\n",
       "      <th>percentual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>tvEpisode</td>\n",
       "      <td>7091360</td>\n",
       "      <td>75.525521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>short</td>\n",
       "      <td>901062</td>\n",
       "      <td>9.596633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>others</td>\n",
       "      <td>769229</td>\n",
       "      <td>8.192564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>movie</td>\n",
       "      <td>627705</td>\n",
       "      <td>6.685283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        type    COUNT  percentual\n",
       "2  tvEpisode  7091360   75.525521\n",
       "1      short   901062    9.596633\n",
       "3     others   769229    8.192564\n",
       "0      movie   627705    6.685283"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "resultado1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ajusta os labels\n",
    "labels = [str(resultado1['type'][i])+' '+'['+str(round(resultado1['percentual'][i],2)) +'%'+']' for i in resultado1.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 559
    },
    "executionInfo": {
     "elapsed": 7,
     "status": "ok",
     "timestamp": 1621950718639,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "2_ugTEy_HmoQ",
    "outputId": "2ea6ea27-e942-4dbf-e358-3305cf88147a"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "# Mapa de cores\n",
    "# https://matplotlib.org/stable/tutorials/colors/colormaps.html\n",
    "cs = cm.Set3(np.arange(100))\n",
    "\n",
    "# Cria a figura\n",
    "f = plt.figure()\n",
    "\n",
    "# Pie Plot\n",
    "plt.pie(resultado1['COUNT'], labeldistance = 1, radius = 3, colors = cs, wedgeprops = dict(width = 0.8))\n",
    "plt.legend(labels = labels, loc = 'center', prop = {'size':12})\n",
    "plt.title(\"Distribuição de Títulos\", loc = 'Center', fontdict = {'fontsize':20,'fontweight':20})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CWF1erMywd2w"
   },
   "source": [
    "## 2- Qual o Número de Títulos Por Gênero?\n",
    "\n",
    "Vamos calcular o número de filmes por gênero e entregar o resultado em valor percentual."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 402
    },
    "executionInfo": {
     "elapsed": 1092,
     "status": "ok",
     "timestamp": 1622093994891,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "1oY3-f_ulQmh",
    "outputId": "1c747b58-7a65-48e3-c88d-d4d4641eb983"
   },
   "outputs": [],
   "source": [
    "# Cria a consulta SQL\n",
    "consulta2 = '''SELECT genres, COUNT(*) FROM titles WHERE type = 'movie' GROUP BY genres''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado2 = pd.read_sql_query(consulta2, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>14281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Action,Adult</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action,Adult,Adventure</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Action,Adult,Comedy</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Action,Adult,Crime</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1469</th>\n",
       "      <td>Thriller,Western</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1470</th>\n",
       "      <td>War</td>\n",
       "      <td>1315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1471</th>\n",
       "      <td>War,Western</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1472</th>\n",
       "      <td>Western</td>\n",
       "      <td>5181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1473</th>\n",
       "      <td>\\N</td>\n",
       "      <td>71908</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1474 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      genres  COUNT(*)\n",
       "0                     Action     14281\n",
       "1               Action,Adult        11\n",
       "2     Action,Adult,Adventure         2\n",
       "3        Action,Adult,Comedy         5\n",
       "4         Action,Adult,Crime         9\n",
       "...                      ...       ...\n",
       "1469        Thriller,Western        42\n",
       "1470                     War      1315\n",
       "1471             War,Western        15\n",
       "1472                 Western      5181\n",
       "1473                      \\N     71908\n",
       "\n",
       "[1474 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualiza o resultado\n",
    "display(resultado2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "N_4ONbrYwEgW"
   },
   "outputs": [],
   "source": [
    "# Converte as strings para minúsculo\n",
    "resultado2['genres'] = resultado2['genres'].str.lower().values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove valores NA (ausentes)\n",
    "temp = resultado2['genres'].dropna()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Usamos o Countvectorizer para converter a coluna de gêneros em um vetor one-hot encoded para contar o número de filmes em cada gênero.\n",
    "\n",
    "![title](imagens/one-hot.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vamos criar um vetor usando expressão regular para filtrar as strings\n",
    "\n",
    "# https://docs.python.org/3.8/library/re.html\n",
    "padrao = '(?u)\\\\b[\\\\w-]+\\\\b'\n",
    "\n",
    "# https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html\n",
    "vetor = CountVectorizer(token_pattern = padrao, analyzer = 'word').fit(temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sklearn.feature_extraction.text.CountVectorizer"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(vetor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aplica a vetorização ao dataset sem valores NA\n",
    "bag_generos = vetor.transform(temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "scipy.sparse._csr.csr_matrix"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(bag_generos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retorna gêneros únicos\n",
    "generos_unicos =  vetor.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 497
    },
    "executionInfo": {
     "elapsed": 838,
     "status": "ok",
     "timestamp": 1622094003105,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "C_HTLQkbl4r8",
    "outputId": "fe7d141d-a1d6-4dde-8072-ad4cae478ec8"
   },
   "outputs": [],
   "source": [
    "# Cria o dataframe de gêneros\n",
    "generos = pd.DataFrame(bag_generos.todense(), columns = generos_unicos, index = temp.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1474 entries, 0 to 1473\n",
      "Data columns (total 29 columns):\n",
      " #   Column       Non-Null Count  Dtype\n",
      "---  ------       --------------  -----\n",
      " 0   action       1474 non-null   int64\n",
      " 1   adult        1474 non-null   int64\n",
      " 2   adventure    1474 non-null   int64\n",
      " 3   animation    1474 non-null   int64\n",
      " 4   biography    1474 non-null   int64\n",
      " 5   comedy       1474 non-null   int64\n",
      " 6   crime        1474 non-null   int64\n",
      " 7   documentary  1474 non-null   int64\n",
      " 8   drama        1474 non-null   int64\n",
      " 9   family       1474 non-null   int64\n",
      " 10  fantasy      1474 non-null   int64\n",
      " 11  film-noir    1474 non-null   int64\n",
      " 12  game-show    1474 non-null   int64\n",
      " 13  history      1474 non-null   int64\n",
      " 14  horror       1474 non-null   int64\n",
      " 15  music        1474 non-null   int64\n",
      " 16  musical      1474 non-null   int64\n",
      " 17  mystery      1474 non-null   int64\n",
      " 18  n            1474 non-null   int64\n",
      " 19  news         1474 non-null   int64\n",
      " 20  reality-tv   1474 non-null   int64\n",
      " 21  romance      1474 non-null   int64\n",
      " 22  sci-fi       1474 non-null   int64\n",
      " 23  short        1474 non-null   int64\n",
      " 24  sport        1474 non-null   int64\n",
      " 25  talk-show    1474 non-null   int64\n",
      " 26  thriller     1474 non-null   int64\n",
      " 27  war          1474 non-null   int64\n",
      " 28  western      1474 non-null   int64\n",
      "dtypes: int64(29)\n",
      "memory usage: 345.5 KB\n"
     ]
    }
   ],
   "source": [
    "# Visualiza\n",
    "generos.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop da coluna n\n",
    "generos = generos.drop(columns = 'n', axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calcula o percentual\n",
    "generos_percentual = 100 * pd.Series(generos.sum()).sort_values(ascending = False) / generos.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "drama          17.978290\n",
       "comedy         17.096336\n",
       "documentary    15.943012\n",
       "adventure      14.654003\n",
       "action         14.450475\n",
       "romance        13.229308\n",
       "crime          13.025780\n",
       "mystery        12.347354\n",
       "thriller       12.279512\n",
       "horror         12.211669\n",
       "dtype: float64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "generos_percentual.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "plt.figure(figsize = (16,8))\n",
    "sns.barplot(x = generos_percentual.values, y = generos_percentual.index, orient = \"h\", palette = \"terrain\")\n",
    "plt.ylabel('Gênero')             \n",
    "plt.xlabel(\"\\nPercentual de Filmes (%)\")\n",
    "plt.title('\\nNúmero (Percentual) de Títulos Por Gênero\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jRKl5x8YxoXO"
   },
   "source": [
    "## 3- Qual a Mediana de Avaliação dos Filmes Por Gênero?\n",
    "\n",
    "Mediana de avaliação dos filmes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "id": "H6UC4vtt0QQG"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta3 = '''\n",
    "            SELECT rating, genres FROM \n",
    "            ratings JOIN titles ON ratings.title_id = titles.title_id \n",
    "            WHERE premiered <= 2022 AND type = 'movie'\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado3 = pd.read_sql_query(consulta3, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rating</th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.3</td>\n",
       "      <td>Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.2</td>\n",
       "      <td>\\N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Action,Adventure,Biography</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.1</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.3</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283239</th>\n",
       "      <td>5.8</td>\n",
       "      <td>Thriller</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283240</th>\n",
       "      <td>6.4</td>\n",
       "      <td>Drama,History</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283241</th>\n",
       "      <td>3.8</td>\n",
       "      <td>Adventure,History,War</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283242</th>\n",
       "      <td>8.3</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283243</th>\n",
       "      <td>8.0</td>\n",
       "      <td>\\N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>283244 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        rating                      genres\n",
       "0          5.3                     Romance\n",
       "1          4.2                          \\N\n",
       "2          6.0  Action,Adventure,Biography\n",
       "3          5.1                       Drama\n",
       "4          4.3                       Drama\n",
       "...        ...                         ...\n",
       "283239     5.8                    Thriller\n",
       "283240     6.4               Drama,History\n",
       "283241     3.8       Adventure,History,War\n",
       "283242     8.3                       Drama\n",
       "283243     8.0                          \\N\n",
       "\n",
       "[283244 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualiza\n",
    "display(resultado3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "W0JWWH6Y19SU"
   },
   "outputs": [],
   "source": [
    "# Vamos criar uma função para retornar os genêros\n",
    "def retorna_generos(df):\n",
    "    df['genres'] = df['genres'].str.lower().values\n",
    "    temp = df['genres'].dropna()\n",
    "    vetor = CountVectorizer(token_pattern = '(?u)\\\\b[\\\\w-]+\\\\b', analyzer = 'word').fit(temp)\n",
    "    generos_unicos =  vetor.get_feature_names()\n",
    "    generos_unicos = [genre for genre in generos_unicos if len(genre) > 1]\n",
    "    return generos_unicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Aplica a função\n",
    "generos_unicos = retorna_generos(resultado3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['action',\n",
       " 'adult',\n",
       " 'adventure',\n",
       " 'animation',\n",
       " 'biography',\n",
       " 'comedy',\n",
       " 'crime',\n",
       " 'documentary',\n",
       " 'drama',\n",
       " 'family',\n",
       " 'fantasy',\n",
       " 'film-noir',\n",
       " 'game-show',\n",
       " 'history',\n",
       " 'horror',\n",
       " 'music',\n",
       " 'musical',\n",
       " 'mystery',\n",
       " 'news',\n",
       " 'reality-tv',\n",
       " 'romance',\n",
       " 'sci-fi',\n",
       " 'short',\n",
       " 'sport',\n",
       " 'talk-show',\n",
       " 'thriller',\n",
       " 'war',\n",
       " 'western']"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "generos_unicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Cria listas vazias\n",
    "genero_counts = []\n",
    "genero_ratings = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "id": "Iggq_inu9QJz"
   },
   "outputs": [],
   "source": [
    "# Loop\n",
    "for item in generos_unicos:\n",
    "    \n",
    "    # Retorna a contagem de filmes por gênero\n",
    "    consulta = 'SELECT COUNT(rating) FROM ratings JOIN titles ON ratings.title_id=titles.title_id WHERE genres LIKE '+ '\\''+'%'+item+'%'+'\\' AND type=\\'movie\\''\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    genero_counts.append(resultado.values[0][0])\n",
    "  \n",
    "     # Retorna a avaliação de filmes por gênero\n",
    "    consulta = 'SELECT rating FROM ratings JOIN titles ON ratings.title_id=titles.title_id WHERE genres LIKE '+ '\\''+'%'+item+'%'+'\\' AND type=\\'movie\\''\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    genero_ratings.append(np.median(resultado['rating']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "id": "E4lGTLpfQStn"
   },
   "outputs": [],
   "source": [
    "# Prepara o dataframe final\n",
    "df_genero_ratings = pd.DataFrame()\n",
    "df_genero_ratings['genres'] = generos_unicos\n",
    "df_genero_ratings['count'] = genero_counts\n",
    "df_genero_ratings['rating'] = genero_ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "      <th>count</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>action</td>\n",
       "      <td>29370</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>adult</td>\n",
       "      <td>4108</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>adventure</td>\n",
       "      <td>17814</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>animation</td>\n",
       "      <td>4892</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>biography</td>\n",
       "      <td>8745</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>comedy</td>\n",
       "      <td>70076</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>crime</td>\n",
       "      <td>24417</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>documentary</td>\n",
       "      <td>43028</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>drama</td>\n",
       "      <td>125858</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>family</td>\n",
       "      <td>10950</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>fantasy</td>\n",
       "      <td>8457</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>film-noir</td>\n",
       "      <td>856</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>game-show</td>\n",
       "      <td>9</td>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>history</td>\n",
       "      <td>7877</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>horror</td>\n",
       "      <td>20328</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>music</td>\n",
       "      <td>12838</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>musical</td>\n",
       "      <td>6259</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>mystery</td>\n",
       "      <td>10715</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>news</td>\n",
       "      <td>654</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>reality-tv</td>\n",
       "      <td>47</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         genres   count  rating\n",
       "0        action   29370     5.8\n",
       "1         adult    4108     5.7\n",
       "2     adventure   17814     6.0\n",
       "3     animation    4892     6.6\n",
       "4     biography    8745     7.0\n",
       "5        comedy   70076     6.0\n",
       "6         crime   24417     6.1\n",
       "7   documentary   43028     7.3\n",
       "8         drama  125858     6.4\n",
       "9        family   10950     6.3\n",
       "10      fantasy    8457     6.1\n",
       "11    film-noir     856     6.5\n",
       "12    game-show       9     7.6\n",
       "13      history    7877     6.9\n",
       "14       horror   20328     5.0\n",
       "15        music   12838     6.6\n",
       "16      musical    6259     6.3\n",
       "17      mystery   10715     6.0\n",
       "18         news     654     7.3\n",
       "19   reality-tv      47     6.8"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "df_genero_ratings.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "id": "h0voA1yQQ_80"
   },
   "outputs": [],
   "source": [
    "# Drop do índice 18 (news)\n",
    "# Não queremos essa informação como gênero\n",
    "df_genero_ratings = df_genero_ratings.drop(index = 18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "C2d5HNJITbaG"
   },
   "outputs": [],
   "source": [
    "# Ordena o resultado\n",
    "df_genero_ratings = df_genero_ratings.sort_values(by = 'rating', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 497
    },
    "executionInfo": {
     "elapsed": 2327,
     "status": "ok",
     "timestamp": 1622094283855,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "MSrgVMHuUAAV",
    "outputId": "cd8a7363-3fab-42c7-eea3-c734e621904b"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "# Figura\n",
    "plt.figure(figsize = (16,10))\n",
    "\n",
    "# Barplot\n",
    "sns.barplot(y = df_genero_ratings.genres, x = df_genero_ratings.rating, orient = \"h\")\n",
    "\n",
    "# Textos do gráfico\n",
    "for i in range(len(df_genero_ratings.index)):\n",
    "    \n",
    "    plt.text(4.0, \n",
    "             i + 0.25, \n",
    "             str(df_genero_ratings['count'][df_genero_ratings.index[i]]) + \" filmes\")\n",
    "    \n",
    "    plt.text(df_genero_ratings.rating[df_genero_ratings.index[i]],\n",
    "             i + 0.25,\n",
    "             round(df_genero_ratings[\"rating\"][df_genero_ratings.index[i]],2))\n",
    "\n",
    "plt.ylabel('Gênero')             \n",
    "plt.xlabel('Mediana da Avaliação')\n",
    "plt.title('\\nMediana de Avaliação Por Gênero\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "V4RFdmlvsbgQ"
   },
   "source": [
    "## 4- Qual a Mediana de Avaliação dos Filmes Em Relação ao Ano de Estréia?\n",
    "\n",
    "Mediana de avaliação dos filmes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 402
    },
    "executionInfo": {
     "elapsed": 1283,
     "status": "ok",
     "timestamp": 1622094463416,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "D7ZoVPJip0eA",
    "outputId": "8ab5db2f-ccd4-49c0-8eba-0da45d2e9812"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta4 = '''\n",
    "            SELECT rating AS Rating, premiered FROM \n",
    "            ratings JOIN titles ON ratings.title_id = titles.title_id \n",
    "            WHERE premiered <= 2022 AND type = 'movie'\n",
    "            ORDER BY premiered\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado4 = pd.read_sql_query(consulta4, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rating</th>\n",
       "      <th>premiered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.3</td>\n",
       "      <td>1894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.5</td>\n",
       "      <td>1897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.9</td>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.4</td>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.9</td>\n",
       "      <td>1900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283239</th>\n",
       "      <td>6.8</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283240</th>\n",
       "      <td>3.3</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283241</th>\n",
       "      <td>5.4</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283242</th>\n",
       "      <td>3.9</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283243</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2022</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>283244 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Rating  premiered\n",
       "0          5.3       1894\n",
       "1          4.5       1897\n",
       "2          3.9       1899\n",
       "3          3.4       1899\n",
       "4          5.9       1900\n",
       "...        ...        ...\n",
       "283239     6.8       2022\n",
       "283240     3.3       2022\n",
       "283241     5.4       2022\n",
       "283242     3.9       2022\n",
       "283243     4.4       2022\n",
       "\n",
       "[283244 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(resultado4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "id": "MC6R8jw-XWZj"
   },
   "outputs": [],
   "source": [
    "# Calculamos a mediana ao longo do tempo (anos)\n",
    "ratings = []\n",
    "for year in set(resultado4['premiered']):\n",
    "    ratings.append(np.median(resultado4[resultado4['premiered'] == year]['Rating']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "list"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(ratings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[4.5, 3.65, 5.85, 4.3, 3.3, 5.25, 5.3, 4.1, 3.1]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings[1:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "id": "VV_YECfDYLkU"
   },
   "outputs": [],
   "source": [
    "# Lista de anos\n",
    "anos = list(set(resultado4['premiered']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1897, 1899, 1900, 1901, 1902, 1903, 1904, 1905, 1906]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anos[1:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 513
    },
    "executionInfo": {
     "elapsed": 830,
     "status": "ok",
     "timestamp": 1622094760127,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "o-DcxevEspQQ",
    "outputId": "e3770997-6254-4e5c-a60f-e8cc665e9674"
   },
   "outputs": [
    {
     "data": {
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YMcOIjIws8Z9HH33UcVzh19UwjCJfK4cPHzYiIyON++67z3H/yZMnjcjISOPaa6913Ga1Wo1evXoZzz77rGEYhvHrr78akZGRxT4/Dz74oDFo0CDDbDYbmzdvLva6Hjx40HjxxRcd10lJrr/++lI/rsjISGP+/PlFPpaLLrrIMJvNjtsuvfRSo2fPnsaZM2cct91+++3G+PHjS31O++tQ0j89evQw7r77buPQoUOO47/44gsjMjLS2LJlS5HX6LrrrjMmT57suC0yMtKYMWOGYRiGsXr1auO6664zzp49W+S5x44da9x6662GYRhGYmKiERkZaXz00UdFjpk+fbrx+OOPG4ZhGH/729+MDz74oMj933//vREZGWn88ccfhmEYxhVXXGFcdtllRn5+vuOY9PR0o1+/fsZf//rXUl+Hinzd/vWvfzX69etX5PU1m83GpZdealxxxRWlnjstLc2IiYkp8n35qaeeMnr27GlkZGQ4bvvtt9+MyMhI47XXXivy+BEjRhi33367YRiGsXLlSiMyMtJYsGBBkWPefPNNIzIy0ti9e3eJMaxYscKIjIw0VqxY4bgtMzPTiIuLc3yNWK1WY8iQIcaUKVOKPHbt2rXFHnu+hx9+uMxr98033zQM49zXWOH4z5w5Yzz//PNGQkKCYRjFvz8ahu16HzZsWJHvZ666FgEAKIyZkQCAOikgIEAjRozQ0qVLdeutt0qyzTYcPXp0seUqv/32mwzD0IgRI4q09dkr0zZt2qR27drp1KlTGjlyZJHHXn755cXakguzt8udPXtWBw4c0IEDBxzVJ2azucixPXv2dPy3n5+fwsPDHZVL0dHR+uyzz2S1WnX48GEdOHBAu3fv1r59+8pspd64caNatWqlqKgox23NmjUrMg9s8+bNys7OLvHjl6Q1a9aoU6dOxc6dn5+v7777TqNGjVJubq5yc3MVEBCguLg4ffXVV7rzzjvl7e2toKAgXXzxxVqyZImmT58uyfa56Nevn2NpSmVep5L4+fnpvffek2Sr4jl48KD27dunFStWOM6Rk5OjHTt26J577iny2NGjR2v06NGSpIkTJ2rixInKzc3VoUOHdPDgQe3YsUMWi8URx/r169WiRQv17t27yHnGjx+vr7/+Wlu3bi1xTmBFPhf2SrFx48YVeeyYMWP0j3/8Q7///ruGDh2quLg4vfHGG4qPj9fQoUM1ZMgQPfzww+W+TpJKbCev7JzTwteqffFF9+7dHbeZTCaFhoY6KhrXrVsnk8mkoUOHFrvGvvvuO+3evVudOnVSeHi47rzzTl1++eUaOnSoYxRBebp27apnnnmmxPvOXz7UrVu3ImMaIiIiFBwcXKS1OiwsTImJieU+7/Tp0zVs2DBZrVatX79eM2bM0OjRo/XMM88UeY5169YpIiJCXbt2LfLxDx8+XC+99JLS09MVGhpa5NyDBw/W4MGDZTabtX//fh04cEAJCQlKTU11LJ/ZuHGjJOniiy8u8tjC7bWvvPKKJFtr/8GDB7V//379/PPPkmxfF1lZWdq2bZvuvvtueXt7Ox5Xv359DR8+3NEKXJKKfN2uX79ew4cPL/L6+vj4aMyYMXrzzTeVmZmpevXqFTv3d999p/z8fI0YMcIxRuHSSy/V559/roULF+rqq68ucnzha1KyzX61f/9cv369vL29HV/nduPHj9frr7+u33//XR07diwWw8aNG+Xr66shQ4Y4brOPAdmwYYMkad++fY5N1oU/t3379lVwcLDWrFlTZMnR+SIiIvTWW2+VeJ99lmOjRo3UsWNHPfHEE1q7dq2GDBmiwYMHO1qzy9KhQwd5eZ1rlnPVtQgAQGEkIwEAddbll1+uu+++W0eOHFG9evW0bt063XfffcWOO336tCQVmV9YWFJSkiNZc37S5vwNpOc7dOiQnnzySf3222/y8fFR+/btHcko47z2vYCAgCL/7+XlVeSYDz74QO+8847S0tLUqFEjde3aVYGBgWW2sKanp5eYaIqIiFBKSoqkcx//tGnTSjzHyZMnS7x95cqVSklJ0bfffqtvv/222P0rVqzQqFGjJNmSfAsWLFB8fLwaN26stWvX6p///Kfj2Mq8TqVZvXq1nn/+ee3bt0/16tVTVFSUI8lhGIbS09NlGIYaNmxY6jlycnL0r3/9SwsWLFB+fr5atmypnj17ysfHxxFHenq6GjVqVOyx9tsKz58srCKfi/T0dMdthfn4+KhBgwaOz/Vrr72mt99+W0uXLtWyZcvk5eWlgQMH6umnny5383dsbGyZ91dEcHBwsdsCAwNLPf706dMyDEO9evUq8f6TJ08qOjpan376qd566y0tWbJEc+fOVWBgoMaPH6/HHntM/v7+pZ6/Xr16Ff64Kht7WVq0aOF43u7duysiIkIPP/ywvL29i1zfp0+fVnJysrp27VrieZKTk4slgKxWq1599VV9+umnysrKUrNmzdStW7cir4P9a7esa3rbtm165plntG3bNgUEBKhjx45q0aKFJNvXxdmzZ2UYRqnXdFnfXyrydVvW14thGMrIyCgxGfntt9/KarWW+H157ty5xZKRZX3/TE9PV4MGDYrNCrZ/nZX2MaanpyssLKxIMq/w46Rzn4NnnnmmxIR4ad8/7fz8/Mq9dk0mk95//3299dZb+vHHHzVv3jz5+vpq1KhRevrpp8tMCJ7/2rvqWgQAoDCSkQCAOmvIkCEKCQnR999/r5CQELVs2VIxMTHFjqtfv74k6aOPPirxTXHz5s0dCaZTp04Vuc/+RrQkVqtV06ZNk6+vr7788kt16dJFPj4+2rNnj7777rtKfSwLFy7Uv//9bz3wwAO64oorHEmtv/71r9q2bVupj2vQoIEOHjxY7PbCcds//pdffllt27YtdmxJiQTJVmHXokULvfDCC8Xuu/feezV37lxHMrJ///5q0qSJli5dqiZNmsjHx0eXXnqpJOe8TocOHdLdd9/tmF1n3wj96aefOuZuBgcHy2QyKTU1tchjc3Nz9dtvv6l79+565ZVX9P333+u///2vBg4cqKCgIEm2Dcl2oaGhJb6mycnJkmyveUkq8rmwJwGSk5PVsmVLx+1ms1lpaWmOc4eEhOjvf/+7/v73v2vfvn366aefNGvWLD3zzDOaM2dO2S+WG4SEhCgoKEgff/xxife3adNGktS+fXv95z//kcVi0Z9//qkFCxbo888/V8uWLUtNltcmEydO1LJly/TFF1/o4osvdmyVDwkJUdu2bfXyyy+X+LjCn2u72bNn68MPP9TTTz+tSy+91FFZeMUVVziOsX/tpqamFtkAv3fvXp0+fVpRUVGaOnWqoqKitGjRIkeV3C+//KLvv//eEZvJZHIkxAtLTk4uNdFV0a/b0NDQUs8tlfz1snPnTu3atUvTp09Xv379itz3888/68MPP9TWrVuLVOOWJTQ0VGlpacrPzy+SkLQnCsv6mk1LS5PFYilSNVrS98+HHnqoWKz253aGJk2a6Omnn9ZTTz2l+Ph4LVu2TO+++65CQ0NLrQouiauuRQAACmOBDQCgzvLz89PIkSP1ww8/aOnSpaVWPvbt21eSlJaWptjYWMc/p0+f1n//+1+dPn1abdu2VbNmzRwLOezsbcAlSUtL0/79+3XFFVcUaQ1dtWqVJFVqacimTZsUEhKiadOmORKRmZmZ2rRpU5nn6d+/v44cOVIkYZmamqotW7Y4/r979+7y9fVVUlJSkY/f19dXr7zySpHN4HYpKSlavXq1xowZ49ikXfif0aNHa82aNTp8+LAkW5XS2LFj9dNPP2nZsmUaOXKko0LNGa/T9u3blZubq9tvv92RiJTkSEQahqF69eopOjpaP/30U5HHrlq1StOmTVNSUpI2bdqkuLg4jRo1ypGI3L59u1JTUx1x9O3bV0ePHi22Dfi7776Tr6+vunXrVmKMFflc2JMZCxcuLPLYxYsXy2KxqHfv3jp69KiGDh3quBbbt2+v2267TQMHDtSJEyfKfa3coV+/fsrKypJhGEWusd27d+vNN99Ufn6+li1bpv79+ys5OVne3t7q2bOnnn76adWvX7/Wflwlefzxx+Xv769nn31WeXl5kmwf//Hjx9WwYcMiH/+6des0Z86cIokuu02bNqljx4664oorHMmfpKQkJSYmOq5F+6iA5cuXF3nsyy+/rOeee0779u3T6dOndeONN6pTp06OCr/CX1tBQUGKiYnRkiVLZLFYHOc4e/asVq5cWWwcgV1Fv2779u2rFStWFKk+tFgsWrx4sWJjY+Xn51fs3F9//bX8/Px08803F/veMmXKFHl7e5c5HuN8/fr1k8ViKbZ4xp40Le1jHDBggPLz84u8vnl5eVqzZo3j/9u3b6+GDRvqyJEjRT63TZs21SuvvKKdO3dWOM7SbN68WQMHDtSff/4pk8mk6Oho3X///YqMjHR8bZxfvVkaV12LAAAURmUkAKBOGz16tG6//XZ5eXnp8ccfL/GYyMhIjR8/Xk888YSOHj2qmJgY7d+/X6+99ppatmyptm3bymQy6cEHH9QDDzygxx9/XJdddpm2bNlS6mZXydY62aJFC3366adq2rSp6tevr19//VUfffSRJNuG7Irq1q2bPv/8c/373//W8OHDdfLkSb333ntKSUkps/JmwoQJ+vjjjzV9+nTdf//9Cg4O1ltvvVXkDWSDBg00depUvf7668rIyFBcXJySkpL0+uuvy2QyqXPnzsXOO2/ePOXn55ea4J00aZI+++wzffnll3rggQck2arG3nvvPXl7exeZkeaM16lr167y8fHRf/7zH916663Ky8vTt99+q5UrV0qSY3bcvffeqzvvvFP33XefJk+erJSUFL366qsaMWKEoqKi1K1bNy1dulSff/65OnTooPj4eL311lsymUyOOCZPnqzPPvtM06dP17333qtWrVrp559/1jfffKPp06c7KqWq8rno2LGjJk2apJkzZyonJ0dxcXHatWuXZs6cqbi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      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "plt.figure(figsize = (16,8))\n",
    "plt.plot(anos, ratings)\n",
    "plt.xlabel('\\nAno')\n",
    "plt.ylabel('Mediana de Avaliação')\n",
    "plt.title('\\nMediana de Avaliação dos Filmes Em Relação ao Ano de Estréia\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2F2Dmji2xR9v"
   },
   "source": [
    "## 5- Qual o Número de Filmes Avaliados Por Gênero Em Relação ao Ano de Estréia?\n",
    "\n",
    "Número de filmes por gênero. Vamos listar os Top 5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "id": "eHdCbIyDm10W"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta5 = '''SELECT genres FROM titles ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado5 = pd.read_sql_query(consulta5, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Documentary,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Animation,Comedy,Romance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Animation,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Comedy,Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9389351</th>\n",
       "      <td>Action,Drama,Family</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9389352</th>\n",
       "      <td>Action,Drama,Family</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9389353</th>\n",
       "      <td>Action,Drama,Family</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9389354</th>\n",
       "      <td>Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9389355</th>\n",
       "      <td>Adventure,Animation,Comedy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9389356 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                             genres\n",
       "0                 Documentary,Short\n",
       "1                   Animation,Short\n",
       "2          Animation,Comedy,Romance\n",
       "3                   Animation,Short\n",
       "4                      Comedy,Short\n",
       "...                             ...\n",
       "9389351         Action,Drama,Family\n",
       "9389352         Action,Drama,Family\n",
       "9389353         Action,Drama,Family\n",
       "9389354                       Short\n",
       "9389355  Adventure,Animation,Comedy\n",
       "\n",
       "[9389356 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(resultado5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "id": "3l9aiHCLvI5S"
   },
   "outputs": [],
   "source": [
    "# Retorna gêneros únicos\n",
    "generos_unicos = retorna_generos(resultado5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['action',\n",
       " 'adult',\n",
       " 'adventure',\n",
       " 'animation',\n",
       " 'biography',\n",
       " 'comedy',\n",
       " 'crime',\n",
       " 'documentary',\n",
       " 'drama',\n",
       " 'family',\n",
       " 'fantasy',\n",
       " 'film-noir',\n",
       " 'game-show',\n",
       " 'history',\n",
       " 'horror',\n",
       " 'music',\n",
       " 'musical',\n",
       " 'mystery',\n",
       " 'news',\n",
       " 'reality-tv',\n",
       " 'romance',\n",
       " 'sci-fi',\n",
       " 'short',\n",
       " 'sport',\n",
       " 'talk-show',\n",
       " 'thriller',\n",
       " 'war',\n",
       " 'western']"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza o resultado\n",
    "generos_unicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "id": "IvXAi1HGf7X8"
   },
   "outputs": [],
   "source": [
    "# Agora fazemos a contagem\n",
    "genero_count = []\n",
    "for item in generos_unicos:\n",
    "    consulta = 'SELECT COUNT(*) COUNT FROM  titles  WHERE genres LIKE '+ '\\''+'%'+item+'%'+'\\' AND type=\\'movie\\' AND premiered <= 2023'\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    genero_count.append(resultado['COUNT'].values[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "id": "6ASveNmFf9aI"
   },
   "outputs": [],
   "source": [
    "# Prepara o dataframe\n",
    "df_genero_count = pd.DataFrame()\n",
    "df_genero_count['genre'] = generos_unicos\n",
    "df_genero_count['Count'] = genero_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "id": "938c_uY-kDiW"
   },
   "outputs": [],
   "source": [
    "# Calcula os top 5\n",
    "df_genero_count = df_genero_count[df_genero_count['genre'] != 'n']\n",
    "df_genero_count = df_genero_count.sort_values(by = 'Count', ascending = False)\n",
    "top_generos = df_genero_count.head()['genre'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 499
    },
    "executionInfo": {
     "elapsed": 4708,
     "status": "ok",
     "timestamp": 1621951784338,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "8aP0rOP0mBh_",
    "outputId": "8604eb15-1809-48e6-9772-6e5c34e0624c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "# Figura\n",
    "plt.figure(figsize = (16,8))\n",
    "\n",
    "# Loop e Plot\n",
    "for item in top_generos:\n",
    "    consulta = 'SELECT COUNT(*) Number_of_movies, premiered Year FROM  titles  WHERE genres LIKE '+ '\\''+'%'+item+'%'+'\\' AND type=\\'movie\\' AND Year <=2022 GROUP BY Year'\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    plt.plot(resultado['Year'], resultado['Number_of_movies'])\n",
    "\n",
    "plt.xlabel('\\nAno')\n",
    "plt.ylabel('Número de Filmes Avaliados')\n",
    "plt.title('\\nNúmero de Filmes Avaliados Por Gênero Em Relação ao Ano de Estréia\\n')\n",
    "plt.legend(labels = top_generos)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9U6CKRVVzF5O"
   },
   "source": [
    "## 6- Qual o Filme Com Maior Tempo de Duração? Calcule os Percentis.\n",
    "\n",
    "Percentis e filme mais longo da história."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "id": "0emEVWQcZAkB"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta6 = '''\n",
    "            SELECT runtime_minutes Runtime \n",
    "            FROM titles \n",
    "            WHERE type = 'movie' AND Runtime != 'NaN'\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado6 = pd.read_sql_query(consulta6, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Runtime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396337</th>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396338</th>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396339</th>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396340</th>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396341</th>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>396342 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Runtime\n",
       "0            45\n",
       "1           100\n",
       "2            70\n",
       "3            90\n",
       "4           120\n",
       "...         ...\n",
       "396337      123\n",
       "396338       57\n",
       "396339      100\n",
       "396340      116\n",
       "396341       49\n",
       "\n",
       "[396342 rows x 1 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(resultado6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 15,
     "status": "ok",
     "timestamp": 1622095194538,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "TTu1QGec4wgb",
    "outputId": "3d8b9dc8-0d36-4e76-bbed-706aacb02b0d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 percentil da duração (runtime) é: 1.0\n",
      "1 percentil da duração (runtime) é: 45.0\n",
      "2 percentil da duração (runtime) é: 47.0\n",
      "3 percentil da duração (runtime) é: 50.0\n",
      "4 percentil da duração (runtime) é: 50.0\n",
      "5 percentil da duração (runtime) é: 51.0\n",
      "6 percentil da duração (runtime) é: 52.0\n",
      "7 percentil da duração (runtime) é: 53.0\n",
      "8 percentil da duração (runtime) é: 54.0\n",
      "9 percentil da duração (runtime) é: 56.0\n",
      "10 percentil da duração (runtime) é: 57.0\n",
      "11 percentil da duração (runtime) é: 58.0\n",
      "12 percentil da duração (runtime) é: 60.0\n",
      "13 percentil da duração (runtime) é: 60.0\n",
      "14 percentil da duração (runtime) é: 60.0\n",
      "15 percentil da duração (runtime) é: 61.0\n",
      "16 percentil da duração (runtime) é: 62.0\n",
      "17 percentil da duração (runtime) é: 64.0\n",
      "18 percentil da duração (runtime) é: 65.0\n",
      "19 percentil da duração (runtime) é: 67.0\n",
      "20 percentil da duração (runtime) é: 69.0\n",
      "21 percentil da duração (runtime) é: 70.0\n",
      "22 percentil da duração (runtime) é: 70.0\n",
      "23 percentil da duração (runtime) é: 71.0\n",
      "24 percentil da duração (runtime) é: 72.0\n",
      "25 percentil da duração (runtime) é: 73.0\n",
      "26 percentil da duração (runtime) é: 74.0\n",
      "27 percentil da duração (runtime) é: 75.0\n",
      "28 percentil da duração (runtime) é: 76.0\n",
      "29 percentil da duração (runtime) é: 77.0\n",
      "30 percentil da duração (runtime) é: 78.0\n",
      "31 percentil da duração (runtime) é: 78.0\n",
      "32 percentil da duração (runtime) é: 79.0\n",
      "33 percentil da duração (runtime) é: 80.0\n",
      "34 percentil da duração (runtime) é: 80.0\n",
      "35 percentil da duração (runtime) é: 80.0\n",
      "36 percentil da duração (runtime) é: 81.0\n",
      "37 percentil da duração (runtime) é: 82.0\n",
      "38 percentil da duração (runtime) é: 83.0\n",
      "39 percentil da duração (runtime) é: 83.0\n",
      "40 percentil da duração (runtime) é: 84.0\n",
      "41 percentil da duração (runtime) é: 85.0\n",
      "42 percentil da duração (runtime) é: 85.0\n",
      "43 percentil da duração (runtime) é: 85.0\n",
      "44 percentil da duração (runtime) é: 86.0\n",
      "45 percentil da duração (runtime) é: 86.0\n",
      "46 percentil da duração (runtime) é: 87.0\n",
      "47 percentil da duração (runtime) é: 87.0\n",
      "48 percentil da duração (runtime) é: 88.0\n",
      "49 percentil da duração (runtime) é: 88.0\n",
      "50 percentil da duração (runtime) é: 89.0\n",
      "51 percentil da duração (runtime) é: 89.0\n",
      "52 percentil da duração (runtime) é: 90.0\n",
      "53 percentil da duração (runtime) é: 90.0\n",
      "54 percentil da duração (runtime) é: 90.0\n",
      "55 percentil da duração (runtime) é: 90.0\n",
      "56 percentil da duração (runtime) é: 90.0\n",
      "57 percentil da duração (runtime) é: 90.0\n",
      "58 percentil da duração (runtime) é: 91.0\n",
      "59 percentil da duração (runtime) é: 91.0\n",
      "60 percentil da duração (runtime) é: 92.0\n",
      "61 percentil da duração (runtime) é: 92.0\n",
      "62 percentil da duração (runtime) é: 93.0\n",
      "63 percentil da duração (runtime) é: 93.0\n",
      "64 percentil da duração (runtime) é: 94.0\n",
      "65 percentil da duração (runtime) é: 94.0\n",
      "66 percentil da duração (runtime) é: 95.0\n",
      "67 percentil da duração (runtime) é: 95.0\n",
      "68 percentil da duração (runtime) é: 96.0\n",
      "69 percentil da duração (runtime) é: 96.0\n",
      "70 percentil da duração (runtime) é: 97.0\n",
      "71 percentil da duração (runtime) é: 98.0\n",
      "72 percentil da duração (runtime) é: 98.0\n",
      "73 percentil da duração (runtime) é: 99.0\n",
      "74 percentil da duração (runtime) é: 100.0\n",
      "75 percentil da duração (runtime) é: 100.0\n",
      "76 percentil da duração (runtime) é: 100.0\n",
      "77 percentil da duração (runtime) é: 101.0\n",
      "78 percentil da duração (runtime) é: 102.0\n",
      "79 percentil da duração (runtime) é: 103.0\n",
      "80 percentil da duração (runtime) é: 104.0\n",
      "81 percentil da duração (runtime) é: 105.0\n",
      "82 percentil da duração (runtime) é: 106.0\n",
      "83 percentil da duração (runtime) é: 107.0\n",
      "84 percentil da duração (runtime) é: 109.0\n",
      "85 percentil da duração (runtime) é: 110.0\n",
      "86 percentil da duração (runtime) é: 111.0\n",
      "87 percentil da duração (runtime) é: 113.0\n",
      "88 percentil da duração (runtime) é: 115.0\n",
      "89 percentil da duração (runtime) é: 117.0\n",
      "90 percentil da duração (runtime) é: 119.0\n",
      "91 percentil da duração (runtime) é: 120.0\n",
      "92 percentil da duração (runtime) é: 123.0\n",
      "93 percentil da duração (runtime) é: 126.0\n",
      "94 percentil da duração (runtime) é: 130.0\n",
      "95 percentil da duração (runtime) é: 135.0\n",
      "96 percentil da duração (runtime) é: 139.0\n",
      "97 percentil da duração (runtime) é: 145.0\n",
      "98 percentil da duração (runtime) é: 153.0\n",
      "99 percentil da duração (runtime) é: 168.0\n",
      "100 percentil da duração (runtime) é: 54321.0\n"
     ]
    }
   ],
   "source": [
    "# Loop para cálculo dos percentis\n",
    "for i in range(101): \n",
    "    val = i\n",
    "    perc = round(np.percentile(resultado6['Runtime'].values, val), 2)\n",
    "    print('{} percentil da duração (runtime) é: {}'.format(val, perc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "id": "QsG590nIag_h"
   },
   "outputs": [],
   "source": [
    "# Refazendo a consulta e retornando o filme com maior duração\n",
    "consulta6 = '''\n",
    "            SELECT runtime_minutes Runtime, primary_title\n",
    "            FROM titles \n",
    "            WHERE type = 'movie' AND Runtime != 'NaN'\n",
    "            ORDER BY Runtime DESC\n",
    "            LIMIT 1\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "resultado6 = pd.read_sql_query(consulta6, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 77
    },
    "executionInfo": {
     "elapsed": 22,
     "status": "ok",
     "timestamp": 1622095429610,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "GiXWo7tBaqhZ",
    "outputId": "ae7656fe-6ba5-43dd-d4ae-5a39cac5b120"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Runtime</th>\n",
       "      <th>primary_title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>54321</td>\n",
       "      <td>Searching for America: Parts I &amp; II</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Runtime                        primary_title\n",
       "0    54321  Searching for America: Parts I & II"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "resultado6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ho17U3IbcieL"
   },
   "source": [
    "'Logistics' é o filme mais longo da história (até este momento), com 857 horas (51420 minutos). Dirigido por Daniel Andersson e Erika Magnusson, o filme acompanha todo o ciclo de vida de um pedômetro (dispositivo de rastreamento de passos) em ordem cronológica reversa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Z4O4rDdHy7oO"
   },
   "source": [
    "## 7- Qual a Relação Entre Duração e Gênero?\n",
    "\n",
    "Relação entre duração do filme e gênero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "id": "0kc8MHtUledj"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta7 = '''\n",
    "            SELECT AVG(runtime_minutes) Runtime, genres \n",
    "            FROM titles \n",
    "            WHERE type = 'movie'\n",
    "            AND runtime_minutes != 'NaN'\n",
    "            GROUP BY genres\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado7 = pd.read_sql_query(consulta7, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "id": "0rzN-DAm5mwA"
   },
   "outputs": [],
   "source": [
    "# Retorna gêneros únicos\n",
    "generos_unicos = retorna_generos(resultado7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['action',\n",
       " 'adult',\n",
       " 'adventure',\n",
       " 'animation',\n",
       " 'biography',\n",
       " 'comedy',\n",
       " 'crime',\n",
       " 'documentary',\n",
       " 'drama',\n",
       " 'family',\n",
       " 'fantasy',\n",
       " 'film-noir',\n",
       " 'game-show',\n",
       " 'history',\n",
       " 'horror',\n",
       " 'music',\n",
       " 'musical',\n",
       " 'mystery',\n",
       " 'news',\n",
       " 'reality-tv',\n",
       " 'romance',\n",
       " 'sci-fi',\n",
       " 'short',\n",
       " 'sport',\n",
       " 'talk-show',\n",
       " 'thriller',\n",
       " 'war',\n",
       " 'western']"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "generos_unicos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "id": "8f79NjxwEdA4"
   },
   "outputs": [],
   "source": [
    "# Calcula duração por gênero\n",
    "genero_runtime = []\n",
    "for item in generos_unicos:\n",
    "    consulta = 'SELECT runtime_minutes Runtime FROM  titles  WHERE genres LIKE '+ '\\''+'%'+item+'%'+'\\' AND type=\\'movie\\' AND Runtime!=\\'NaN\\''\n",
    "    resultado = pd.read_sql_query(consulta, conn)\n",
    "    genero_runtime.append(np.median(resultado['Runtime']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "id": "bW5jRTqyG5s1"
   },
   "outputs": [],
   "source": [
    "# Prepara o dataframe\n",
    "df_genero_runtime = pd.DataFrame()\n",
    "df_genero_runtime['genre'] = generos_unicos\n",
    "df_genero_runtime['runtime'] = genero_runtime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "id": "q03CMhQwHTXs"
   },
   "outputs": [],
   "source": [
    "# Remove índice 18 (news)\n",
    "df_genero_runtime = df_genero_runtime.drop(index = 18)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "id": "xa6O1pozHfEH"
   },
   "outputs": [],
   "source": [
    "# Ordena os dados\n",
    "df_genero_runtime = df_genero_runtime.sort_values(by = 'runtime', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 497
    },
    "executionInfo": {
     "elapsed": 902,
     "status": "ok",
     "timestamp": 1622096440987,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "AKKU1iTHH19k",
    "outputId": "115ea1e7-7e87-4332-a92a-8851c8081c28"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "# Tamanho da figura\n",
    "plt.figure(figsize = (16,8))\n",
    "\n",
    "# Barplot\n",
    "sns.barplot(y = df_genero_runtime.genre, x = df_genero_runtime.runtime, orient = \"h\")\n",
    "\n",
    "# Loop\n",
    "for i in range(len(df_genero_runtime.index)):\n",
    "    plt.text(df_genero_runtime.runtime[df_genero_runtime.index[i]],\n",
    "             i + 0.25,\n",
    "             round(df_genero_runtime[\"runtime\"][df_genero_runtime.index[i]], 2))\n",
    "\n",
    "plt.ylabel('Gênero')             \n",
    "plt.xlabel('\\nMediana de Tempo de Duração (Minutos)')\n",
    "plt.title('\\nRelação Entre Duração e Gênero\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t6ScDbBNzblj"
   },
   "source": [
    "## 8- Qual o Número de Filmes Produzidos Por País?\n",
    "\n",
    "Número de filmes produzidos por país."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 402
    },
    "executionInfo": {
     "elapsed": 29930,
     "status": "ok",
     "timestamp": 1621952554276,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "xit2KSBiLOdf",
    "outputId": "8d660d13-8a78-400e-d827-944ca8ec9802"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta8 = '''\n",
    "            SELECT region, COUNT(*) Number_of_movies FROM \n",
    "            akas JOIN titles ON \n",
    "            akas.title_id = titles.title_id\n",
    "            WHERE region != 'None'\n",
    "            AND type = \\'movie\\'\n",
    "            GROUP BY region\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "resultado8 = pd.read_sql_query(consulta8, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>Number_of_movies</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AD</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AE</td>\n",
       "      <td>8741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AF</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AG</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>1308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>YUCS</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>ZA</td>\n",
       "      <td>12024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>ZM</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>ZRCD</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>ZW</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>235 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    region  Number_of_movies\n",
       "0       AD                22\n",
       "1       AE              8741\n",
       "2       AF               112\n",
       "3       AG                12\n",
       "4       AL              1308\n",
       "..     ...               ...\n",
       "230   YUCS               152\n",
       "231     ZA             12024\n",
       "232     ZM                47\n",
       "233   ZRCD                 2\n",
       "234     ZW                55\n",
       "\n",
       "[235 rows x 2 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(resultado8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(235, 2)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Shape\n",
    "resultado8.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "235"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Número de linhas\n",
    "resultado8.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Listas auxiliares\n",
    "nomes_paises = []\n",
    "contagem = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "id": "y0EiQBfgNEgb"
   },
   "outputs": [],
   "source": [
    "# Loop para obter o país de acordo com a região\n",
    "for i in range(resultado8.shape[0]):\n",
    "    try:\n",
    "        coun = resultado8['region'].values[i]\n",
    "        nomes_paises.append(pycountry.countries.get(alpha_2 = coun).name)\n",
    "        contagem.append(resultado8['Number_of_movies'].values[i])\n",
    "    except: \n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "id": "Ke69xq96Oeeu"
   },
   "outputs": [],
   "source": [
    "# Prepara o dataframe\n",
    "df_filmes_paises = pd.DataFrame()\n",
    "df_filmes_paises['country'] = nomes_paises\n",
    "df_filmes_paises['Movie_Count'] = contagem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "id": "RyaO-hmNOxv-"
   },
   "outputs": [],
   "source": [
    "# Ordena o resultado\n",
    "df_filmes_paises = df_filmes_paises.sort_values(by = 'Movie_Count', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>Movie_Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>United States</td>\n",
       "      <td>320488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>162809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Japan</td>\n",
       "      <td>94932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>India</td>\n",
       "      <td>90738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>France</td>\n",
       "      <td>87448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Canada</td>\n",
       "      <td>83807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Germany</td>\n",
       "      <td>74455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Spain</td>\n",
       "      <td>68302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Italy</td>\n",
       "      <td>67894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>67127</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            country  Movie_Count\n",
       "200   United States       320488\n",
       "66   United Kingdom       162809\n",
       "97            Japan        94932\n",
       "90            India        90738\n",
       "64           France        87448\n",
       "32           Canada        83807\n",
       "48          Germany        74455\n",
       "59            Spain        68302\n",
       "94            Italy        67894\n",
       "26           Brazil        67127"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualiza\n",
    "df_filmes_paises.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 446
    },
    "executionInfo": {
     "elapsed": 1725,
     "status": "ok",
     "timestamp": 1621952785166,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "9vLWE-JaPB8K",
    "outputId": "f738f6a3-4128-469f-c772-bbd2614d8caf"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot\n",
    "\n",
    "# Figura\n",
    "plt.figure(figsize = (20,8))\n",
    "\n",
    "# Barplot\n",
    "sns.barplot(y = df_filmes_paises[:20].country, x = df_filmes_paises[:20].Movie_Count, orient = \"h\")\n",
    "\n",
    "# Loop\n",
    "for i in range(0,20):\n",
    "    plt.text(df_filmes_paises.Movie_Count[df_filmes_paises.index[i]]-1,\n",
    "             i + 0.30,\n",
    "             round(df_filmes_paises[\"Movie_Count\"][df_filmes_paises.index[i]],2))\n",
    "\n",
    "plt.ylabel('País')             \n",
    "plt.xlabel('\\nNúmero de Filmes')\n",
    "plt.title('\\nNúmero de Filmes Produzidos Por País\\n')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "szAHC3FEyoiv"
   },
   "source": [
    "## 9- Quais São os Top 10 Melhores Filmes?\n",
    "\n",
    "Top 10 filmes com melhor avaliação e mais de 25 mil votos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 343
    },
    "executionInfo": {
     "elapsed": 1249,
     "status": "ok",
     "timestamp": 1621952795722,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "b4IB3sTJiStg",
    "outputId": "b8f85ad1-c741-4883-81ad-6e56aa690ba0"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta9 = '''\n",
    "            SELECT primary_title AS Movie_Name, genres, rating\n",
    "            FROM \n",
    "            titles JOIN ratings\n",
    "            ON  titles.title_id = ratings.title_id\n",
    "            WHERE titles.type = 'movie' AND ratings.votes >= 25000\n",
    "            ORDER BY rating DESC\n",
    "            LIMIT 10          \n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Resultado\n",
    "top10_melhores_filmes = pd.read_sql_query(consulta9, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie_Name</th>\n",
       "      <th>genres</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Shawshank Redemption</td>\n",
       "      <td>Drama</td>\n",
       "      <td>9.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Godfather</td>\n",
       "      <td>Crime,Drama</td>\n",
       "      <td>9.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Chaos Class</td>\n",
       "      <td>Comedy,Drama</td>\n",
       "      <td>9.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CM101MMXI Fundamentals</td>\n",
       "      <td>Comedy,Documentary</td>\n",
       "      <td>9.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12 Angry Men</td>\n",
       "      <td>Crime,Drama</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Godfather Part II</td>\n",
       "      <td>Crime,Drama</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Schindler's List</td>\n",
       "      <td>Biography,Drama,History</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>The Lord of the Rings: The Return of the King</td>\n",
       "      <td>Action,Adventure,Drama</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Dark Knight</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Kantara</td>\n",
       "      <td>Action,Adventure,Drama</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Movie_Name                   genres  \\\n",
       "0                       The Shawshank Redemption                    Drama   \n",
       "1                                  The Godfather              Crime,Drama   \n",
       "2                                The Chaos Class             Comedy,Drama   \n",
       "3                         CM101MMXI Fundamentals       Comedy,Documentary   \n",
       "4                                   12 Angry Men              Crime,Drama   \n",
       "5                          The Godfather Part II              Crime,Drama   \n",
       "6                               Schindler's List  Biography,Drama,History   \n",
       "7  The Lord of the Rings: The Return of the King   Action,Adventure,Drama   \n",
       "8                                The Dark Knight       Action,Crime,Drama   \n",
       "9                                        Kantara   Action,Adventure,Drama   \n",
       "\n",
       "   rating  \n",
       "0     9.3  \n",
       "1     9.2  \n",
       "2     9.2  \n",
       "3     9.1  \n",
       "4     9.0  \n",
       "5     9.0  \n",
       "6     9.0  \n",
       "7     9.0  \n",
       "8     9.0  \n",
       "9     9.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(top10_melhores_filmes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 10- Quais São os Top 10 Piores Filmes?\n",
    "\n",
    "Top 10 filmes com pior avaliação e mais de 25 mil votos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 343
    },
    "executionInfo": {
     "elapsed": 613,
     "status": "ok",
     "timestamp": 1621952796329,
     "user": {
      "displayName": "Utkarsh Sinha",
      "photoUrl": "",
      "userId": "11911393678467085382"
     },
     "user_tz": -330
    },
    "id": "xNkQXdifjWEF",
    "outputId": "16e506a2-6cfd-49e6-f67d-b0b3894e4ff4"
   },
   "outputs": [],
   "source": [
    "# Consulta SQL\n",
    "consulta10 = '''\n",
    "            SELECT primary_title AS Movie_Name, genres, rating\n",
    "            FROM \n",
    "            titles JOIN ratings\n",
    "            ON  titles.title_id = ratings.title_id\n",
    "            WHERE titles.type = 'movie' AND ratings.votes >= 25000\n",
    "            ORDER BY rating ASC\n",
    "            LIMIT 10\n",
    "            ''' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "id": "naOoI-IXfKSI"
   },
   "outputs": [],
   "source": [
    "# Resultado\n",
    "top10_piores_filmes = pd.read_sql_query(consulta10, conn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Movie_Name</th>\n",
       "      <th>genres</th>\n",
       "      <th>rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Reis</td>\n",
       "      <td>Biography,Drama</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cumali Ceber</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sadak 2</td>\n",
       "      <td>Action,Drama</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Smolensk</td>\n",
       "      <td>Drama,Thriller</td>\n",
       "      <td>1.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Superbabies: Baby Geniuses 2</td>\n",
       "      <td>Comedy,Family,Sci-Fi</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Cost of Deception</td>\n",
       "      <td>Action,Crime,Drama</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Manos: The Hands of Fate</td>\n",
       "      <td>Horror</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Justin Bieber: Never Say Never</td>\n",
       "      <td>Documentary,Music</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>From Justin to Kelly</td>\n",
       "      <td>Comedy,Musical,Romance</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>The Hottie &amp; the Nottie</td>\n",
       "      <td>Comedy,Romance</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Movie_Name                  genres  rating\n",
       "0                            Reis         Biography,Drama     1.0\n",
       "1                    Cumali Ceber                  Comedy     1.0\n",
       "2                         Sadak 2            Action,Drama     1.1\n",
       "3                        Smolensk          Drama,Thriller     1.2\n",
       "4    Superbabies: Baby Geniuses 2    Comedy,Family,Sci-Fi     1.5\n",
       "5           The Cost of Deception      Action,Crime,Drama     1.5\n",
       "6        Manos: The Hands of Fate                  Horror     1.6\n",
       "7  Justin Bieber: Never Say Never       Documentary,Music     1.6\n",
       "8            From Justin to Kelly  Comedy,Musical,Romance     1.9\n",
       "9         The Hottie & the Nottie          Comedy,Romance     1.9"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(top10_piores_filmes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Obrigado\n",
    "\n",
    "### Visite o Blog da Data Science Academy - <a href=\"http://blog.dsacademy.com.br\">Blog DSA</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parabéns se você chegou até aqui. Use o voucher PYTHONDSA9642 para comprar qualquer curso ou Formação da DSA com 5% de desconto."
   ]
  }
 ],
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