final_project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Musically"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Integrantes \n",
    "### Vinicius Freitas Schiavinato Olzon                   | Matrícula: 20210026803\n",
    "### Gabriel de Lucca                                     | Matrícula: 20180042775\n",
    "### José Jesus                                           | Matrícula: 20190100030"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introdução"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A música está diretamente ligada a história da humanidade, em que a primeira música já feita data de 1.400 a.C., conhecida como Hino Hurriano para Nikkal, a qual foi feita em homenagem à deusa Nikkal, em que seu autor é desconhecido, todavia, existem registros arqueológicos de instrumentos musicais precários que se assemelham a uma espécie de flauta que confirmam a relação da humanidade com a música desde 40.000 a.C.. Não somente, já é conhecido que a música é capaz de expressar sentimentos que muitas vezes não são bem expostos da forma desejada apenas com palavras e gestos, de tal forma que ela nasce como forma de socialização entre nós humanos, sendo desenvolvida principalmente com base nas sensações geradas a partir de estímulos sonoros.\n",
    "\n",
    "Com o passar dos séculos, houveram diversas mudanças culturais, sociais e econômicas ao redor do planeta, contudo, algo que não sofreu mudanças foi a necessidade e vontade dos seres humanos de expressarem suas frustrações e alegrias conforme o cenário atual da época, ou simplesmente para fins como a poesia, romance e outras formas de socialização. Assim, nada mais justo do que estudar algumas características musicais de diferentes períodos e analisar suas diferenças afim de obter informações, que, serão tomadas como fundamento para formular conclusões acerca do tema. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Objetivos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dessa forma, o objetivo desse projeto é, a partir da análise, limpeza e processamento dos dados, saber como as características musicais de diferentes canções se relacionam entre si, quais padrões musicais são detectados e descobrir como as características de cada música se transformaram com o passar dos anos, de maneira que ao final da leitura do projeto, seja elucidado algumas informações que antes não estavam claras, ou que traga algo de novo e interessante para o leitor em questão."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![img](https://free4kwallpapers.com/uploads/originals/2021/01/20/music-wallpaper.jpg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Perguntas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Algumas perguntas são cruciais para a análise e compreensão final desse projeto, de tal forma que as respotas dessas indagações são o foco principal do trabalho."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### O projeto gira em torno das seguintes questões:\n",
    " * Em uma música considerada triste, quais são as palavras que mais aparecem nas letras dessa canção ? E em músicas românticas ?\n",
    "\n",
    " * Como o grau de obscenidade das músicas se comportou com o passar das décadas desde 1950 ?\n",
    "\n",
    " * Existe relação entre o quanto uma música é fácil de ser dançada e o quanto ela é alegre ?\n",
    "\n",
    " * A duração de uma música influencia na sua popularidade ?\n",
    "\n",
    " * Qual o gênero musical mais popular entre 2010 e 2019 e quais tendem a crescer ou diminuir nos anos seguintes ?\n",
    "\n",
    " * As músicas mais populares entre 2010 e 2019 têm alguma relação entre si ?\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dados\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "O projeto tem como base dois conjuntos de dados, o primeiro é sobre as músicas mais populares na plataforma de streaming Spotify entre os anos de 2010 e 2019, sendo o ano de 2019 incluso, já o segundo trata sobre uma coleção de músicas lançadas entre 1950 e 2019. Ambos os conjuntos são tratados e discutidos mais a fundo no projeto. Os dados foram obtidos na plataforma de uso público Kaggle, de maneira em que ambos os datasets são disponíveis para uso coletivo. Abaixo é explicado o significado de algumas palavras e termos usados nos datasets para a sua melhor compreensão."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Descrição do primeiro dataset (Músicas mais populares do Spotify de 2010 até 2019):\n",
    "\n",
    "Esse dataset tem um total de 603 linhas e 15 colunas, em que cada linha representa uma música, a qual tem suas características definidas nas colunas correspondentes. Abaixo é descrito o que cada coluna significa:\n",
    "\n",
    "- title: Título da canção\n",
    "\n",
    "- artist: Artista da canção\n",
    "\n",
    "- top genre: Gênero musical da canção\n",
    "\n",
    "- year: Ano de lançamento da canção\n",
    "\n",
    "- bpm: Batidas por minutos da canção\n",
    "\n",
    "- nrgy: Índice de energia da canção (Quanto maior for o valor mais energética é a canção)\n",
    "\n",
    "- dnce: Índice de dançabilidade da canção (Quanto maior for o valor mais fácil é de dançar a canção)\n",
    "\n",
    "- dB: Decibéis da canção (Indica a intensidade do som)\n",
    "\n",
    "- live: Índice de vivacidade da canção (Quanto maior for o valor mais provável da música ser ao vivo)\n",
    "\n",
    "- val: Índice sentimental da canção (Quanto maior for o valor mais a canção é alegre/positiva)\n",
    "\n",
    "- dur: Duração da música (Em segundos)\n",
    "\n",
    "- acous: Índice de acústica da canção (Quanto maior for o valor mais acústica é a música)\n",
    "\n",
    "- spch: Índice de fala da canção (Quanto maior for o valor mais palavras cantadas tem a música)\n",
    "\n",
    "- pop: Índice de popularidade da canção (Quanto maior for o valor mais popular é a música)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Descrição do segundo dataset (Músicas de 1950 até 2019):\n",
    " \n",
    "Esse dataset tem um total de 28.372  linhas e 31 colunas, em que, tal como o primeiro dataset, cada linha representa uma música, a qual tem suas características definidas nas colunas correspondentes. Abaixo é descrito o que cada coluna significa:\n",
    "\n",
    "- artist_name: Indica o artista da canção\n",
    "\n",
    "- track_name: Indica o título da canção\n",
    "\n",
    "- release_date: Indica o ano de lançamento da canção\n",
    "\n",
    "- genre: Indica o gênero musical da canção\n",
    "\n",
    "- lyrics: Letras da música\n",
    "\n",
    "- len: Indica quantas palavras tem nas letras da música\n",
    "\n",
    "- dating: Índice do quanto a canção é ligada a assuntos sobre namoro\n",
    "\n",
    "- violence: Índice do quanto a canção é considerada violenta\n",
    "\n",
    "- world/life: Índice do quanto a canção é ligada com a natureza\n",
    "\n",
    "- night/time: Índice do quanto a música é ligada com o período noturno\n",
    "\n",
    "- shake the audience: Índice do quanto a canção consegue movimentar a audiência\n",
    "\n",
    "- family/gospel: Índice do quanto a canção é ligada a assuntos de família e evangelho\n",
    "\n",
    "- romantic: Índice do quanto a canção é considerada romântica\n",
    "\n",
    "- communication: Índice do quanto a canção é comunicativa em suas letras\n",
    "\n",
    "- obscene: Índice do quanto a canção é considerada obscena\n",
    "\n",
    "- music: Índice do quanto a canção é considerada musical\n",
    "\n",
    "- movement/places: Índice do quanto a música demonstra a sensação de movimento\n",
    "\n",
    "- light/visual perceptions: Índice do quanto a música descreve percepções visuais\n",
    "\n",
    "- family/spiritual: Índice do quanto a canção é ligada a assuntos espirituais\n",
    "\n",
    "- like/girls: Índice do quanto a música é considerada feminina\n",
    "\n",
    "- sadness: Índice do quanto a música é considerada triste\n",
    "\n",
    "- danceability: Índice do quanto a canção é facil de ser dançada\n",
    "\n",
    "- loudness: A altura da música\n",
    "\n",
    "- acousticness: Índice do quanto a música é acústica\n",
    "\n",
    "- instrumentalness: Índice do quanto a música é considerada instrumental\n",
    "\n",
    "- valence: Índice do quanto a canção é positiva e alegre\n",
    "\n",
    "- energy: Índice do quanto a canção é energética\n",
    "\n",
    "- topic: Indica sobre o que a música se trata\n",
    "\n",
    "- age: Índice do quanto a canção fala sobre a idade das pessoas em suas letras"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bibliotecas utilizadas\n",
    "Para o melhor desenvolvimento e entedimento, não só do leitor, do projeto ao decorrer da sua leitura, é feito o uso de algumas bibliotecas que servem de base para a melhor análise, limpeza e processamento dos dados, e outras para a demonstração, de forma gráfica, de algumas informações e conclusões acerca do tema em questão;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from collections import Counter\n",
    "\n",
    "from sklearn import preprocessing\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importando os datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_2010_2019 = pd.read_csv(\"top10s.csv\")\n",
    "data_1950_2019 = pd.read_csv(\"1950-2019.csv\")\n",
    "first_df = pd.DataFrame(data_2010_2019)\n",
    "second_df = pd.DataFrame(data_1950_2019)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Com as bibliotecas necessárias para o desenvolvimento do projeto já incluídas, é possível iniciar a exploração dos dados\n",
    "Aqui será feita uma análise mais superficial dos datasets, todavia muito importante para o trabalho, que serve para decidir quais dados são úteis, quais não são e quais informações são possíveis de serem extraídas desses dados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Primeiro será feita a análise e exploração do dataset que trata sobre as músicas mais populares do Spotify entre 2010 e 2019:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exibição das 10 primeiras linhas desse conjunto de dados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>title</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Hey, Soul Sister</td>\n",
       "      <td>Train</td>\n",
       "      <td>neo mellow</td>\n",
       "      <td>2010</td>\n",
       "      <td>97</td>\n",
       "      <td>89</td>\n",
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       "      <td>2</td>\n",
       "      <td>Love The Way You Lie</td>\n",
       "      <td>Eminem</td>\n",
       "      <td>detroit hip hop</td>\n",
       "      <td>2010</td>\n",
       "      <td>87</td>\n",
       "      <td>93</td>\n",
       "      <td>75</td>\n",
       "      <td>-5</td>\n",
       "      <td>52</td>\n",
       "      <td>64</td>\n",
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       "      <td>23</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>TiK ToK</td>\n",
       "      <td>Kesha</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>120</td>\n",
       "      <td>84</td>\n",
       "      <td>76</td>\n",
       "      <td>-3</td>\n",
       "      <td>29</td>\n",
       "      <td>71</td>\n",
       "      <td>200</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Bad Romance</td>\n",
       "      <td>Lady Gaga</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>119</td>\n",
       "      <td>92</td>\n",
       "      <td>70</td>\n",
       "      <td>-4</td>\n",
       "      <td>8</td>\n",
       "      <td>71</td>\n",
       "      <td>295</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Just the Way You Are</td>\n",
       "      <td>Bruno Mars</td>\n",
       "      <td>pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>109</td>\n",
       "      <td>84</td>\n",
       "      <td>64</td>\n",
       "      <td>-5</td>\n",
       "      <td>9</td>\n",
       "      <td>43</td>\n",
       "      <td>221</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Baby</td>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>canadian pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>65</td>\n",
       "      <td>86</td>\n",
       "      <td>73</td>\n",
       "      <td>-5</td>\n",
       "      <td>11</td>\n",
       "      <td>54</td>\n",
       "      <td>214</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Dynamite</td>\n",
       "      <td>Taio Cruz</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>120</td>\n",
       "      <td>78</td>\n",
       "      <td>75</td>\n",
       "      <td>-4</td>\n",
       "      <td>4</td>\n",
       "      <td>82</td>\n",
       "      <td>203</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Secrets</td>\n",
       "      <td>OneRepublic</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>148</td>\n",
       "      <td>76</td>\n",
       "      <td>52</td>\n",
       "      <td>-6</td>\n",
       "      <td>12</td>\n",
       "      <td>38</td>\n",
       "      <td>225</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Empire State of Mind (Part II) Broken Down</td>\n",
       "      <td>Alicia Keys</td>\n",
       "      <td>hip pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>93</td>\n",
       "      <td>37</td>\n",
       "      <td>48</td>\n",
       "      <td>-8</td>\n",
       "      <td>12</td>\n",
       "      <td>14</td>\n",
       "      <td>216</td>\n",
       "      <td>74</td>\n",
       "      <td>3</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Only Girl (In The World)</td>\n",
       "      <td>Rihanna</td>\n",
       "      <td>barbadian pop</td>\n",
       "      <td>2010</td>\n",
       "      <td>126</td>\n",
       "      <td>72</td>\n",
       "      <td>79</td>\n",
       "      <td>-4</td>\n",
       "      <td>7</td>\n",
       "      <td>61</td>\n",
       "      <td>235</td>\n",
       "      <td>13</td>\n",
       "      <td>4</td>\n",
       "      <td>73</td>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0                                       title         artist  \\\n",
       "0           1                            Hey, Soul Sister          Train   \n",
       "1           2                        Love The Way You Lie         Eminem   \n",
       "2           3                                     TiK ToK          Kesha   \n",
       "3           4                                 Bad Romance      Lady Gaga   \n",
       "4           5                        Just the Way You Are     Bruno Mars   \n",
       "5           6                                        Baby  Justin Bieber   \n",
       "6           7                                    Dynamite      Taio Cruz   \n",
       "7           8                                     Secrets    OneRepublic   \n",
       "8           9  Empire State of Mind (Part II) Broken Down    Alicia Keys   \n",
       "9          10                    Only Girl (In The World)        Rihanna   \n",
       "\n",
       "         top genre  year  bpm  nrgy  dnce  dB  live  val  dur  acous  spch  \\\n",
       "0       neo mellow  2010   97    89    67  -4     8   80  217     19     4   \n",
       "1  detroit hip hop  2010   87    93    75  -5    52   64  263     24    23   \n",
       "2        dance pop  2010  120    84    76  -3    29   71  200     10    14   \n",
       "3        dance pop  2010  119    92    70  -4     8   71  295      0     4   \n",
       "4              pop  2010  109    84    64  -5     9   43  221      2     4   \n",
       "5     canadian pop  2010   65    86    73  -5    11   54  214      4    14   \n",
       "6        dance pop  2010  120    78    75  -4     4   82  203      0     9   \n",
       "7        dance pop  2010  148    76    52  -6    12   38  225      7     4   \n",
       "8          hip pop  2010   93    37    48  -8    12   14  216     74     3   \n",
       "9    barbadian pop  2010  126    72    79  -4     7   61  235     13     4   \n",
       "\n",
       "   pop  \n",
       "0   83  \n",
       "1   82  \n",
       "2   80  \n",
       "3   79  \n",
       "4   78  \n",
       "5   77  \n",
       "6   77  \n",
       "7   77  \n",
       "8   76  \n",
       "9   73  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Primeiramente, o que foi observado com mais destaque foi o fato de existirem diversos subgêneros dentro do gênero pop, o que irá dificultar o trabalho daqui pra frente. Logo, será preciso ser feita uma filtragem desses subgêneros de tal forma que todos as variações do pop estejam descritas apenas como \"Pop\". O mesmo será feito para cada gênero e seus subgêneros. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Não somente, a coluna com o nome de \"Unnamed: 0\" não tem uso algum para o desenvolvimento do projeto, por isso ela será descartada."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Descartando a coluna \"Unnamed: 0\";"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_df = first_df.drop(\"Unnamed: 0\", axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Filtrando os gêneros;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Hip hop\" if \"hip hop\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Hip hop\" if \"rap\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Hip hop\" if \"hollywood\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Rock\" if \"rock\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Rock\" if \"permanent wave\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Rock\" if \"indie\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"electronic\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"electro\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"house\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"edm\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"belgian edm\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"complextro\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"downtempo\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"brostep\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"escape room\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Electronic\" if \"big room\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Pop\" if \"pop\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Pop\" if \"australian dance\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Pop\" if \"boy band\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Pop\" if \"neo mellow\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Pop\" if \"irish\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Soul\" if \"soul\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Soul\" if \"country\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Soul\" if \"pop\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Soul\" if \"r&b\" in x else x)\n",
    "first_df[\"top genre\"] = first_df[\"top genre\"].apply(lambda x: \"Latin\" if \"latin\" in x else x)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aqui pode ser visto o resultado da filtração dos gêneros:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Pop', 'Hip hop', 'Rock', 'Electronic', 'Soul', 'Latin'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"top genre\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após a limpeza dos dados desse dataset, já é possível analisar as medidas de centralidade e dispersão dessas características musicais:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>year</th>\n",
       "      <th>bpm</th>\n",
       "      <th>nrgy</th>\n",
       "      <th>dnce</th>\n",
       "      <th>dB</th>\n",
       "      <th>live</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>acous</th>\n",
       "      <th>spch</th>\n",
       "      <th>pop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "      <td>603.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2014.592040</td>\n",
       "      <td>118.545605</td>\n",
       "      <td>70.504146</td>\n",
       "      <td>64.379768</td>\n",
       "      <td>-5.578773</td>\n",
       "      <td>17.774461</td>\n",
       "      <td>52.225539</td>\n",
       "      <td>224.674959</td>\n",
       "      <td>14.326700</td>\n",
       "      <td>8.358209</td>\n",
       "      <td>66.520730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.607057</td>\n",
       "      <td>24.795358</td>\n",
       "      <td>16.310664</td>\n",
       "      <td>13.378718</td>\n",
       "      <td>2.798020</td>\n",
       "      <td>13.102543</td>\n",
       "      <td>22.513020</td>\n",
       "      <td>34.130059</td>\n",
       "      <td>20.766165</td>\n",
       "      <td>7.483162</td>\n",
       "      <td>14.517746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2010.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-60.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2013.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>-6.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>60.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2015.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>221.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>69.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>129.000000</td>\n",
       "      <td>82.000000</td>\n",
       "      <td>73.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>239.500000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019.000000</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>-2.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>98.000000</td>\n",
       "      <td>424.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>99.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              year         bpm        nrgy        dnce          dB  \\\n",
       "count   603.000000  603.000000  603.000000  603.000000  603.000000   \n",
       "mean   2014.592040  118.545605   70.504146   64.379768   -5.578773   \n",
       "std       2.607057   24.795358   16.310664   13.378718    2.798020   \n",
       "min    2010.000000    0.000000    0.000000    0.000000  -60.000000   \n",
       "25%    2013.000000  100.000000   61.000000   57.000000   -6.000000   \n",
       "50%    2015.000000  120.000000   74.000000   66.000000   -5.000000   \n",
       "75%    2017.000000  129.000000   82.000000   73.000000   -4.000000   \n",
       "max    2019.000000  206.000000   98.000000   97.000000   -2.000000   \n",
       "\n",
       "             live         val         dur       acous        spch         pop  \n",
       "count  603.000000  603.000000  603.000000  603.000000  603.000000  603.000000  \n",
       "mean    17.774461   52.225539  224.674959   14.326700    8.358209   66.520730  \n",
       "std     13.102543   22.513020   34.130059   20.766165    7.483162   14.517746  \n",
       "min      0.000000    0.000000  134.000000    0.000000    0.000000    0.000000  \n",
       "25%      9.000000   35.000000  202.000000    2.000000    4.000000   60.000000  \n",
       "50%     12.000000   52.000000  221.000000    6.000000    5.000000   69.000000  \n",
       "75%     24.000000   69.000000  239.500000   17.000000    9.000000   76.000000  \n",
       "max     74.000000   98.000000  424.000000   99.000000   48.000000   99.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após isso, é verificado a existência de algum valor nulo em ambos os datasets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second_df.isnull().values.any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como visto, não existe nenhum valor nulo nos conjuntos de dados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com isso feito, o primeiro dataset está pronto para ser utilizado nas análises mais adiante."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Agora será feita a análise e exploração do dataset que trata sobre músicas lançadas entre 1950 e 2019:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aqui é exibido as 5 primeiras linhas desse dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>artist_name</th>\n",
       "      <th>track_name</th>\n",
       "      <th>release_date</th>\n",
       "      <th>genre</th>\n",
       "      <th>lyrics</th>\n",
       "      <th>len</th>\n",
       "      <th>dating</th>\n",
       "      <th>violence</th>\n",
       "      <th>world/life</th>\n",
       "      <th>...</th>\n",
       "      <th>sadness</th>\n",
       "      <th>feelings</th>\n",
       "      <th>danceability</th>\n",
       "      <th>loudness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>valence</th>\n",
       "      <th>energy</th>\n",
       "      <th>topic</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>mukesh</td>\n",
       "      <td>mohabbat bhi jhoothi</td>\n",
       "      <td>1950</td>\n",
       "      <td>pop</td>\n",
       "      <td>hold time feel break feel untrue convince spea...</td>\n",
       "      <td>95</td>\n",
       "      <td>0.000598</td>\n",
       "      <td>0.063746</td>\n",
       "      <td>0.000598</td>\n",
       "      <td>...</td>\n",
       "      <td>0.380299</td>\n",
       "      <td>0.117175</td>\n",
       "      <td>0.357739</td>\n",
       "      <td>0.454119</td>\n",
       "      <td>0.997992</td>\n",
       "      <td>0.901822</td>\n",
       "      <td>0.339448</td>\n",
       "      <td>0.137110</td>\n",
       "      <td>sadness</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>frankie laine</td>\n",
       "      <td>i believe</td>\n",
       "      <td>1950</td>\n",
       "      <td>pop</td>\n",
       "      <td>believe drop rain fall grow believe darkest ni...</td>\n",
       "      <td>51</td>\n",
       "      <td>0.035537</td>\n",
       "      <td>0.096777</td>\n",
       "      <td>0.443435</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001284</td>\n",
       "      <td>0.001284</td>\n",
       "      <td>0.331745</td>\n",
       "      <td>0.647540</td>\n",
       "      <td>0.954819</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.325021</td>\n",
       "      <td>0.263240</td>\n",
       "      <td>world/life</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>johnnie ray</td>\n",
       "      <td>cry</td>\n",
       "      <td>1950</td>\n",
       "      <td>pop</td>\n",
       "      <td>sweetheart send letter goodbye secret feel bet...</td>\n",
       "      <td>24</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>0.225422</td>\n",
       "      <td>0.456298</td>\n",
       "      <td>0.585288</td>\n",
       "      <td>0.840361</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.351814</td>\n",
       "      <td>0.139112</td>\n",
       "      <td>music</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>pérez prado</td>\n",
       "      <td>patricia</td>\n",
       "      <td>1950</td>\n",
       "      <td>pop</td>\n",
       "      <td>kiss lips want stroll charm mambo chacha merin...</td>\n",
       "      <td>54</td>\n",
       "      <td>0.048249</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>...</td>\n",
       "      <td>0.225889</td>\n",
       "      <td>0.001548</td>\n",
       "      <td>0.686992</td>\n",
       "      <td>0.744404</td>\n",
       "      <td>0.083935</td>\n",
       "      <td>0.199393</td>\n",
       "      <td>0.775350</td>\n",
       "      <td>0.743736</td>\n",
       "      <td>romantic</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>giorgos papadopoulos</td>\n",
       "      <td>apopse eida oneiro</td>\n",
       "      <td>1950</td>\n",
       "      <td>pop</td>\n",
       "      <td>till darling till matter know till dream live ...</td>\n",
       "      <td>48</td>\n",
       "      <td>0.001350</td>\n",
       "      <td>0.001350</td>\n",
       "      <td>0.417772</td>\n",
       "      <td>...</td>\n",
       "      <td>0.068800</td>\n",
       "      <td>0.001350</td>\n",
       "      <td>0.291671</td>\n",
       "      <td>0.646489</td>\n",
       "      <td>0.975904</td>\n",
       "      <td>0.000246</td>\n",
       "      <td>0.597073</td>\n",
       "      <td>0.394375</td>\n",
       "      <td>romantic</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0           artist_name            track_name  release_date genre  \\\n",
       "0           0                mukesh  mohabbat bhi jhoothi          1950   pop   \n",
       "1           4         frankie laine             i believe          1950   pop   \n",
       "2           6           johnnie ray                   cry          1950   pop   \n",
       "3          10           pérez prado              patricia          1950   pop   \n",
       "4          12  giorgos papadopoulos    apopse eida oneiro          1950   pop   \n",
       "\n",
       "                                              lyrics  len    dating  violence  \\\n",
       "0  hold time feel break feel untrue convince spea...   95  0.000598  0.063746   \n",
       "1  believe drop rain fall grow believe darkest ni...   51  0.035537  0.096777   \n",
       "2  sweetheart send letter goodbye secret feel bet...   24  0.002770  0.002770   \n",
       "3  kiss lips want stroll charm mambo chacha merin...   54  0.048249  0.001548   \n",
       "4  till darling till matter know till dream live ...   48  0.001350  0.001350   \n",
       "\n",
       "   world/life  ...   sadness  feelings  danceability  loudness  acousticness  \\\n",
       "0    0.000598  ...  0.380299  0.117175      0.357739  0.454119      0.997992   \n",
       "1    0.443435  ...  0.001284  0.001284      0.331745  0.647540      0.954819   \n",
       "2    0.002770  ...  0.002770  0.225422      0.456298  0.585288      0.840361   \n",
       "3    0.001548  ...  0.225889  0.001548      0.686992  0.744404      0.083935   \n",
       "4    0.417772  ...  0.068800  0.001350      0.291671  0.646489      0.975904   \n",
       "\n",
       "   instrumentalness   valence    energy       topic  age  \n",
       "0          0.901822  0.339448  0.137110     sadness  1.0  \n",
       "1          0.000002  0.325021  0.263240  world/life  1.0  \n",
       "2          0.000000  0.351814  0.139112       music  1.0  \n",
       "3          0.199393  0.775350  0.743736    romantic  1.0  \n",
       "4          0.000246  0.597073  0.394375    romantic  1.0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As colunas com o nome de \"genre\", que mostra o gênero musical da canção, e \"lyrics\", que trata sobre as letras de cada música, juntamente com algumas outras colunas de características descritivas das canções são as colunas que mais nos interessam nesse conjunto de dados, pois elas estão diretamente ligadas com algumas perguntas feitas anteriormente sobre o projeto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aqui novamente será descartada a coluna com o nome de \"Unnamed: 0\", todavia, também será descartada a coluna \"len\" que trata sobre a quantia de letras de cada música, a coluna \"track_name\" que diz o título da música, a coluna \"artist_name\" que indica o autor da canção e a coluna \"age\" que aparentemente possui dados que não fazem sentido. Tais colunas não nos interessaram nas análises adiantes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "unnecessary = [\"Unnamed: 0\", \"len\", \"age\", \"artist_name\", \"track_name\"]\n",
    "second_df = second_df.drop(unnecessary, axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com isso já é possível analisar as medidas de centralidade e dispersão das características musicais desse conjunto de dados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>release_date</th>\n",
       "      <th>dating</th>\n",
       "      <th>violence</th>\n",
       "      <th>world/life</th>\n",
       "      <th>night/time</th>\n",
       "      <th>shake the audience</th>\n",
       "      <th>family/gospel</th>\n",
       "      <th>romantic</th>\n",
       "      <th>communication</th>\n",
       "      <th>obscene</th>\n",
       "      <th>...</th>\n",
       "      <th>family/spiritual</th>\n",
       "      <th>like/girls</th>\n",
       "      <th>sadness</th>\n",
       "      <th>feelings</th>\n",
       "      <th>danceability</th>\n",
       "      <th>loudness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>valence</th>\n",
       "      <th>energy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>2.837200e+04</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "      <td>28372.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1990.236888</td>\n",
       "      <td>0.021112</td>\n",
       "      <td>0.118396</td>\n",
       "      <td>0.120973</td>\n",
       "      <td>0.057387</td>\n",
       "      <td>0.017422</td>\n",
       "      <td>0.017045</td>\n",
       "      <td>0.048681</td>\n",
       "      <td>0.076680</td>\n",
       "      <td>0.097168</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024150</td>\n",
       "      <td>0.028057</td>\n",
       "      <td>0.129389</td>\n",
       "      <td>0.030996</td>\n",
       "      <td>0.533348</td>\n",
       "      <td>0.665249</td>\n",
       "      <td>3.392347e-01</td>\n",
       "      <td>0.080049</td>\n",
       "      <td>0.532864</td>\n",
       "      <td>0.569875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>18.487463</td>\n",
       "      <td>0.052370</td>\n",
       "      <td>0.178684</td>\n",
       "      <td>0.172200</td>\n",
       "      <td>0.111923</td>\n",
       "      <td>0.040670</td>\n",
       "      <td>0.041966</td>\n",
       "      <td>0.106095</td>\n",
       "      <td>0.109538</td>\n",
       "      <td>0.181303</td>\n",
       "      <td>...</td>\n",
       "      <td>0.051025</td>\n",
       "      <td>0.058473</td>\n",
       "      <td>0.181143</td>\n",
       "      <td>0.071652</td>\n",
       "      <td>0.173218</td>\n",
       "      <td>0.108434</td>\n",
       "      <td>3.267143e-01</td>\n",
       "      <td>0.211245</td>\n",
       "      <td>0.250972</td>\n",
       "      <td>0.244385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1950.000000</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000291</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000284</td>\n",
       "      <td>0.000289</td>\n",
       "      <td>0.005415</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.811248e-07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1975.000000</td>\n",
       "      <td>0.000923</td>\n",
       "      <td>0.001120</td>\n",
       "      <td>0.001170</td>\n",
       "      <td>0.001032</td>\n",
       "      <td>0.000993</td>\n",
       "      <td>0.000923</td>\n",
       "      <td>0.000975</td>\n",
       "      <td>0.001144</td>\n",
       "      <td>0.001053</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000957</td>\n",
       "      <td>0.000975</td>\n",
       "      <td>0.001144</td>\n",
       "      <td>0.000993</td>\n",
       "      <td>0.412975</td>\n",
       "      <td>0.595364</td>\n",
       "      <td>3.423598e-02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.329143</td>\n",
       "      <td>0.380361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1991.000000</td>\n",
       "      <td>0.001462</td>\n",
       "      <td>0.002506</td>\n",
       "      <td>0.006579</td>\n",
       "      <td>0.001949</td>\n",
       "      <td>0.001595</td>\n",
       "      <td>0.001504</td>\n",
       "      <td>0.001754</td>\n",
       "      <td>0.002632</td>\n",
       "      <td>0.001815</td>\n",
       "      <td>...</td>\n",
       "      <td>0.001645</td>\n",
       "      <td>0.001595</td>\n",
       "      <td>0.005263</td>\n",
       "      <td>0.001754</td>\n",
       "      <td>0.538612</td>\n",
       "      <td>0.679050</td>\n",
       "      <td>2.259028e-01</td>\n",
       "      <td>0.000085</td>\n",
       "      <td>0.539365</td>\n",
       "      <td>0.580567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2007.000000</td>\n",
       "      <td>0.004049</td>\n",
       "      <td>0.192608</td>\n",
       "      <td>0.197793</td>\n",
       "      <td>0.065842</td>\n",
       "      <td>0.010002</td>\n",
       "      <td>0.004785</td>\n",
       "      <td>0.042301</td>\n",
       "      <td>0.132136</td>\n",
       "      <td>0.088765</td>\n",
       "      <td>...</td>\n",
       "      <td>0.025498</td>\n",
       "      <td>0.026622</td>\n",
       "      <td>0.235113</td>\n",
       "      <td>0.032622</td>\n",
       "      <td>0.656666</td>\n",
       "      <td>0.749026</td>\n",
       "      <td>6.325298e-01</td>\n",
       "      <td>0.009335</td>\n",
       "      <td>0.738252</td>\n",
       "      <td>0.772766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019.000000</td>\n",
       "      <td>0.647706</td>\n",
       "      <td>0.981781</td>\n",
       "      <td>0.962105</td>\n",
       "      <td>0.973684</td>\n",
       "      <td>0.497463</td>\n",
       "      <td>0.545303</td>\n",
       "      <td>0.940789</td>\n",
       "      <td>0.645829</td>\n",
       "      <td>0.992298</td>\n",
       "      <td>...</td>\n",
       "      <td>0.618073</td>\n",
       "      <td>0.594459</td>\n",
       "      <td>0.981424</td>\n",
       "      <td>0.958810</td>\n",
       "      <td>0.993502</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.996964</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       release_date        dating      violence    world/life    night/time  \\\n",
       "count  28372.000000  28372.000000  28372.000000  28372.000000  28372.000000   \n",
       "mean    1990.236888      0.021112      0.118396      0.120973      0.057387   \n",
       "std       18.487463      0.052370      0.178684      0.172200      0.111923   \n",
       "min     1950.000000      0.000291      0.000284      0.000291      0.000289   \n",
       "25%     1975.000000      0.000923      0.001120      0.001170      0.001032   \n",
       "50%     1991.000000      0.001462      0.002506      0.006579      0.001949   \n",
       "75%     2007.000000      0.004049      0.192608      0.197793      0.065842   \n",
       "max     2019.000000      0.647706      0.981781      0.962105      0.973684   \n",
       "\n",
       "       shake the audience  family/gospel      romantic  communication  \\\n",
       "count        28372.000000   28372.000000  28372.000000   28372.000000   \n",
       "mean             0.017422       0.017045      0.048681       0.076680   \n",
       "std              0.040670       0.041966      0.106095       0.109538   \n",
       "min              0.000284       0.000289      0.000284       0.000291   \n",
       "25%              0.000993       0.000923      0.000975       0.001144   \n",
       "50%              0.001595       0.001504      0.001754       0.002632   \n",
       "75%              0.010002       0.004785      0.042301       0.132136   \n",
       "max              0.497463       0.545303      0.940789       0.645829   \n",
       "\n",
       "            obscene  ...  family/spiritual    like/girls       sadness  \\\n",
       "count  28372.000000  ...      28372.000000  28372.000000  28372.000000   \n",
       "mean       0.097168  ...          0.024150      0.028057      0.129389   \n",
       "std        0.181303  ...          0.051025      0.058473      0.181143   \n",
       "min        0.000289  ...          0.000284      0.000284      0.000284   \n",
       "25%        0.001053  ...          0.000957      0.000975      0.001144   \n",
       "50%        0.001815  ...          0.001645      0.001595      0.005263   \n",
       "75%        0.088765  ...          0.025498      0.026622      0.235113   \n",
       "max        0.992298  ...          0.618073      0.594459      0.981424   \n",
       "\n",
       "           feelings  danceability      loudness  acousticness  \\\n",
       "count  28372.000000  28372.000000  28372.000000  2.837200e+04   \n",
       "mean       0.030996      0.533348      0.665249  3.392347e-01   \n",
       "std        0.071652      0.173218      0.108434  3.267143e-01   \n",
       "min        0.000289      0.005415      0.000000  2.811248e-07   \n",
       "25%        0.000993      0.412975      0.595364  3.423598e-02   \n",
       "50%        0.001754      0.538612      0.679050  2.259028e-01   \n",
       "75%        0.032622      0.656666      0.749026  6.325298e-01   \n",
       "max        0.958810      0.993502      1.000000  1.000000e+00   \n",
       "\n",
       "       instrumentalness       valence        energy  \n",
       "count      28372.000000  28372.000000  28372.000000  \n",
       "mean           0.080049      0.532864      0.569875  \n",
       "std            0.211245      0.250972      0.244385  \n",
       "min            0.000000      0.000000      0.000000  \n",
       "25%            0.000000      0.329143      0.380361  \n",
       "50%            0.000085      0.539365      0.580567  \n",
       "75%            0.009335      0.738252      0.772766  \n",
       "max            0.996964      1.000000      1.000000  \n",
       "\n",
       "[8 rows x 23 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "second_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após isso, ambos os datasets estão aptos para a extração e obtenção de informações a partir de seus dados."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Em uma música considerada triste, quais são as palavras que mais aparecem nas letras dessa canção ? E em músicas românticas ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para responder a primeira questão, é necessário estabelecer critérios acerca do que é ser considerado uma música triste, para tal , será utilizado os seguintes critérios:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "low_sadness = second_df[second_df[\"sadness\"] > 0.04]\n",
    "mid_sadness = second_df[second_df[\"sadness\"] > 0.1]\n",
    "high_sadness = second_df[second_df[\"sadness\"] > 0.6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após isso, é preciso analisar quais palavras mais aparecem em músicas com o índice de tristeza abaixo da média, dentro da média e acima da média."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para tal, será preciso contar quantas vezes cada palavra aparece nas letras de cada música, e para facilitar esse processo de contagem, será feito o uso da classe \"Counter\" do módulo \"collections\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('away', 15707),\n",
       " ('heart', 15522),\n",
       " ('know', 14905),\n",
       " ('time', 11067),\n",
       " ('like', 10416),\n",
       " ('come', 9622)]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(low_sadness[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('away', 14409),\n",
       " ('heart', 14235),\n",
       " ('know', 11556),\n",
       " ('time', 8269),\n",
       " ('leave', 8131),\n",
       " ('fall', 7612)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(mid_sadness[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('away', 1582),\n",
       " ('heart', 1403),\n",
       " ('fall', 1099),\n",
       " ('break', 1052),\n",
       " ('leave', 649),\n",
       " ('walk', 627)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(high_sadness[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Com isso feito, já temos as palavras mais frequentes de músicas com diferentes índices de tristeza"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras mais comuns em músicas com o índice de tristeza abaixo do normal são:\n",
    "- Vir/ir\n",
    "- Sentir\n",
    "- Saber\n",
    "- Tempo\n",
    "- Gostar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras mais comuns em músicas com o índice de tristeza dentro da normalidade são:\n",
    "- Longe\n",
    "- Coração\n",
    "- Saber\n",
    "- Cair\n",
    "- Deixar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras que mais aparecem em músicas com o índice de tristeza acima do normal são:\n",
    "- Longe\n",
    "- Coração\n",
    "- Cair\n",
    "- Quebrar\n",
    "- Deixar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Logo, fica claro que algumas palavras como: \"Longe\", \"Coração\", \"Cair\", \"Quebrar\", \"Deixar\", têm uma grande tendência a aparecer em músicas tristes. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Para saber quais palavras mais aparecem em músicas românticas, será utilizado da mesma lógica que a resposta anterior."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para responder a segunda pergunta, será seguido os mesmos passos, sendo necessário estipular parâmetros sobre o quão romântica é uma música, os quais são descritos abaixo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "low_romance = second_df[second_df[\"romantic\"] > 0.01]\n",
    "mid_romance = second_df[second_df[\"romantic\"] > 0.5]\n",
    "high_romance = second_df[second_df[\"romantic\"] > 0.6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após isso, é preciso analisar quais palavras mais aparecem em músicas com o índice de romance abaixo da média, dentro da média e acima da média."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('know', 11929),\n",
       " ('like', 8902),\n",
       " ('time', 8694),\n",
       " ('hold', 8246),\n",
       " ('come', 7948),\n",
       " ('heart', 7638)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(low_romance[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('hold', 895),\n",
       " ('woman', 438),\n",
       " ('kiss', 416),\n",
       " ('love', 333),\n",
       " ('hand', 306),\n",
       " ('sweet', 282)]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(mid_romance[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('hold', 397),\n",
       " ('woman', 219),\n",
       " ('lover', 153),\n",
       " ('kiss', 115),\n",
       " ('hand', 104),\n",
       " ('touch', 103)]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(\" \".join(high_romance[\"lyrics\"]).split()).most_common(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Com isso feito, já temos as palavras mais frequentes de músicas com diferentes índices de romance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras mais comuns em músicas com o índice de romance abaixo do normal são:\n",
    "- Segurar\n",
    "- Vir\n",
    "- Saber\n",
    "- Tempo\n",
    "- Gostar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras mais comuns em músicas com o índice de romance dentro da normalidade são:\n",
    "- Segurar\n",
    "- Mulher\n",
    "- Beijar\n",
    "- Amor\n",
    "- Mão"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As palavras que mais aparecem em músicas com o índice de romance acima do normal são:\n",
    "- Segurar\n",
    "- Mulher\n",
    "- Amante\n",
    "- Querida\n",
    "- Beijar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Logo, fica claro que algumas palavras como: \"Segurar\", \"Mulher\", \"Amante\", \"Querida\", \"Beijar\", têm uma grande tendência a aparecer em músicas românticas. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " # Como o grau de obscenidade das músicas se comportou com o passar das décadas desde 1950 ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para conseguir essa informação, vamos observar o grau de obscenidade de cada música desde 1950 até 2019 e formar um gráfico com esses dados. Não somente, antes de responder essa pergunta, é necessário ter em mente algumas informações acerca do tema."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Abaixo, temos um gráfico demonstrando qual é o gênero com o maior índice de obscenidade, ao observá-lo abaixo, fica claro que o gênero musical mais obsceno é o hip-hop. Sobre isso, existe uma possível dúvida: \"Será que a maior incidência no grau de obscenidade das músicas aponta para o Hip Hop só porquê existem mais músicas desse gênero musical nos conjuntos de dados?\"."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='genre', ylabel='obscene'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_theme()\n",
    "sns.set(font_scale = 2)\n",
    "\n",
    "fig_dims = (26, 13)\n",
    "fig, ax = plt.subplots(figsize = fig_dims)\n",
    "\n",
    "sns.barplot(x = \"genre\", y = \"obscene\", ax = ax, data = second_df, alpha = 0.9)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Todavia, ao analisar o segundo gráfico, é visto que a grande maioria das músicas são classificadas como Pop, e mesmo assim o gênero com o maior grau de obscenidade em suas letras continua a ser a Hip Hop. Dessa forma, certificando que o gênero musical mais obsceno realmente é o Hip Hop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7facdb84cca0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2035.58x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(x = \"genre\", data = second_df, hue = \"genre\", alpha = 0.9, height = 13, aspect = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mais a fundo, é visto no gráfico abaixo uma clara demonstração do comportamento do índice de obscenidade nas letras das músicas com o passar das décadas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='release_date', ylabel='obscene'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (26, 13)\n",
    "fig, ax = plt.subplots(figsize = fig_dims)\n",
    "\n",
    "sns.lineplot(x = \"release_date\", y = \"obscene\", ax = ax, data = second_df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Após uma rápida análise, percebe-se que a partir da década de 90, o gráfico sofre uma verticalização não tão significativa, mas já evidente. Porém, após 2010, o grau de obscenidade nas letras das músicas passou a ter um crescimento muito acelerado e fora do padrão. Ou seja, as músicas atuais são consideradas muito mais obscenas do que antigamente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Existe relação entre o quanto uma música é fácil de ser dançada e o quanto ela é alegre ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Aqui será verificado o índice de correlação entre a coluna 'val', que quanto maior é o seu valor mais a música em questão é considerada alegre, e o índice 'dnce', que indica a facilidade de dançar tal música."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5017"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_val_dnce = first_df[\"val\"].corr(first_df[\"dnce\"])\n",
    "corr_val_dnce.round(decimals = 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como visto acima, o quanto uma música é alegre tem sim correlação com o quanto ela é facil de ser dançada, no caso (0.5017)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Não somente, é possível visualizar isso no gráfico abaixo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7facdf604be0>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "f.set_figwidth(26)\n",
    "f.set_figheight(13)\n",
    "\n",
    "plt.ylabel(\"dnce\", fontsize = 30)\n",
    "plt.xlabel(\"val\", fontsize = 30)\n",
    "\n",
    "plt.scatter(first_df[\"val\"], first_df[\"dnce\"], s = 160, color = \"darkblue\", alpha = 0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Observando o gráfico, pode-se perceber um leve crescimento na altura dos pontos, que representa a relação positiva de uma característica com a outra, todavia, pelo índice de correlação (0.5017) não ser considerado muito significativo, é concluído que é mais fácil e provável de se dançar uma música alegre, porém não é o único fator que influencia nesse aspecto."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Se aprofundando no assunto, vamos separar as músicas consideradas \"alegres\" do primeiro dataset, em que essas serão filtradas a partir das músicas com o índice de \"val\" maior ou igual a 60, em que quanto mais seu valor se aproxima de 100, mais aquela canção é considerada alegre, tudo isso com a finalidade de analisar qual é o artista com mais músicas alegres entre o ano de 2010 e 2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "happy_songs = first_df[first_df[\"val\"] >= 60]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Abaixo é descrito os 5 artistas com mais músicas alegres nesse período:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('Pitbull', 8),\n",
       " ('Katy Perry', 7),\n",
       " ('Shawn Mendes', 7),\n",
       " ('Ed Sheeran', 7),\n",
       " ('DNCE', 7)]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy = Counter(happy_songs[\"artist\"]).most_common(5)\n",
    "most_happy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Vemos que o artista Pitbull é o primeiro da lista, somando um total de 8 músicas consideradas alegres, todavia, tenha atenção ao detalhe de que o total músicas que cada artista tem nesse dataset também importa nesse tipo de análise, haja vista que ao mesmo tempo em que o artista pode ter músicas consideradas como alegres, ele pode ter muito mais canções depressivas. Ou seja, iremos analisar quantas músicas esse artista tem no total, em relação com a quantia de músicas alegres, para assim ter informações mais completas acerca do tema."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agora vamos divir a quantia total de músicas que esses 5 primeiros artistas têm pela quantia de músicas alegres nesse dataset.Abaixo obtemos os dados sobre o total de músicas de cada artista mencionado:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "pitbull_songs = first_df[first_df[\"artist\"] == \"Pitbull\"].count().unique()\n",
    "katy_perry_songs = first_df[first_df[\"artist\"] == \"Katy Perry\"].count().unique()\n",
    "shawn_mendes_songs = first_df[first_df[\"artist\"] == \"Shawn Mendes\"].count().unique()\n",
    "ed_sheeran_songs = first_df[first_df[\"artist\"] == \"Ed Sheeran\"].count().unique()\n",
    "dnce_songs = first_df[first_df[\"artist\"] == \"DNCE\"].count().unique()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finalmente, a seguir é descrito o resultado dessa divisão, em que quanto mais o valor se aproxima de 1, mais músicas alegres o artista possui em relação ao total de músicas populares entre 2019 e 2019;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Pitbull:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.72727273])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy[0][-1] / pitbull_songs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Katy Perry:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.41176471])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy[1][-1] / katy_perry_songs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Shawn Mendes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.63636364])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy[2][-1] / shawn_mendes_songs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Ed Sheeran:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.63636364])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy[3][-1] / ed_sheeran_songs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- DNCE:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "most_happy[4][-1] / dnce_songs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Com todas as análises finalizadas, pode-se concluir que o(a) artista que mais possui músicas alegres em relação ao total de músicas populares entre 2019 e 2019 é \"DNCE\", em que todas as suas músicas populares entre 2010 e 2019 são músicas alegres."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A duração de uma música influencia na sua popularidade ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Antes de tudo, é importante ter em mente que para analisar a duração das músicas mais populares não será necessário estipular o que é considerado popular ou não, pois todos os elementos do dataset que será trabalhado já são sobre as músicas mais populares entre 2010 e 2019. Posto isso, vamos começar obtendo a duração média dessas músicas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Abaixo é exibido o gráfico da duração das músicas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7facdf618580>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(x = \"dur\", data = first_df, alpha = 0.8, color = \"darkblue\", height = 13, aspect = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ao rapidamente analisá-lo, já é visualizado que a maioria das músicas estão na faixa de 200 a 250 segundos. Para obter essa informação mais precisamente, abaixo é feito o cálculo da média de duração em segundos dessas músicas;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "224.67495854063017"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"dur\"].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com esse cálculo, descobrimos que a duração média das músicas mais populares entre 2010 e 2019 têm 224 segundos, ou 3 minutos e 44 segundos. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Obtemos a duração média das músicas mais populares, todavia, é importante também analisar o quanto o valor da duração de cada música se distância da média, ou melhor dizendo, o desvio padrão da duração dessas músicas, tal medida é descrita abaixo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.13005933128084"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"dur\"].std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ou seja, as músicas, em média, se desviam 34 segundos da duração média, a qual é 224 segundos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Por fim, com essa nova informação, podemos afirmar as seguintes conclusões:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    As músicas mais populares entre 2010 e 2019 têm duração média de 3 minutos e 44 segundos."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    A músicas consideradas mais populares têm uma duração específica, em que elas geralmente variam de 3 minutos e 10 segundos à 4 minutos e 18 segundos, sendo esse um dos fatores que contribuem para o grau de popularidade de uma música."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Qual o gênero musical mais popular entre 2010 e 2019 e quais tendem a crescer ou diminuir nos anos seguintes ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para a primeira parte da pergunta, antes é preciso analisar qual gênero foi considerado mais popular nesse período, em que para tal análise basta simplesmente descrever o valor modal dos gêneros musicais desse conjunto de dados e verificar esse valor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    Pop\n",
       "Name: top genre, dtype: object"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df['top genre'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([500])"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[first_df[\"top genre\"] == \"Pop\"].count().unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Como já esperado, o gênero musical mais popular da década passada foi o pop, sendo que entre as 603 músicas mais populares desse período, 500 delas se encaixam no gênero musical conhecido como Pop, o que significa um valor aproximado de 83% do total."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Agora para fazer a previsão sobre quais gêneros tendem a crescer e quais tendem a diminuir será montado um gráfico mostrando o grau de popularidade de cada gênero com o passar dos anos. Cada linha abaixo representa um gênero musical diferente, cada um com sua respectiva cor como descreve a legenda, note que nem todas as linhas começam no ano de 2010, assim como nem todas terminam em 2019, isso ocorre devido ao fato de que alguns gêneros musicais não estavam presentes na lista das músicas mais populares desse ano específico:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='year', ylabel='pop'>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_dims = (26, 13)\n",
    "fig, ax = plt.subplots(figsize = fig_dims)\n",
    "\n",
    "sns.lineplot(data = first_df, ax = ax, x = first_df[\"year\"], y = first_df[\"pop\"], hue = first_df[\"top genre\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Ao observar o gráfico, é visto que o único estilo musical que não termina com um acréscimo em seu grau de popularidade é o Rock, em que ele passa a ter seu nível de popularidade reduzido a partir do ano de 2012. Lembre-se que isso não significa que o gênero musical conhecido como rock não é mais popular, a análise feita acima apenas descreve que na plataforma de streaming Spotify o rock já não é mais tão popular como já foi no começo da década passada. Enquanto todos os outros gêneros musicais seguem tendo seu índice de popularidade aumentado com o passar dos anos, principalmente os gêneros musicais conhecidos como pop, eletrônica e soul, o rock demonstra ser menos popular atualmente."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# As músicas mais populares entre 2010 e 2019 têm alguma relação entre si ?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como já foi abordado no projeto a temática de músicas alegres e músicas tristes, primeiro será verificado se existe relação entre o quanto uma música é alegre com o quanto ela é popular. Para isso será feito um processo semelhante ao que foi utilizado anteriormente, em que é necessário estabelecer um parâmetro do que significa uma música ser alegre, o qual é definido majoritariamente por dois aspectos, o primeiro é sobre as escalas musicais utilizadas, e o outro tem relação com as palavras cantadas na música em questão."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para tal parâmetro, foi utilizado os índices de alegria e positividade do dataset, que seguem a seguinte escala:\n",
    "\n",
    "+ 0 <= índice <= 20     = Triste\n",
    "+ 20 <= índice <= 40    = Normal\n",
    "+ 40 <= índice <= 60    = Alegre\n",
    "+ 60 <= índice <= 80    = Muito alegre\n",
    "+ 80 <= índice <= 100   = Extremamente alegre\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Abaixo temos um gráfico que mostra o índice de \"val\" das músicas, que quanto mais seu valor se aproxima de 100, mais a música em questão é considerada alegre."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7facdf720730>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(x = \"val\", data = first_df, alpha = 0.8, color = \"darkblue\", height = 13, aspect = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após uma breve análise desse gráfico, já temos uma boa noção dos índice de \"val\" de cada música, em que a maioria das músicas parecem estar entre os valores de 40 à 70."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Abaixo é descrito o valor da média de \"val\" desse dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52.22553897180763"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"val\"].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com isso, é visto que a as músicas mais populares entre 2010 e 2019 são, em média, categorizadas como músicas alegres, pois ao analisar o valor da média, a qual tem o valor de 52.22, e comparar com a escala feita anteriormente, é checado que tal valor se encaixa na categoria \"Alegre\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Dessa forma, é possível de se concluir que as músicas mais populares entre 2010 e 2019, em sua grande maioria têm um humor alegre e positivo. Sendo essa uma das relações em comum que as músicas mais populares desse período possuem entre si."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Agora iremos verificar se as músicas mais populares nesse período têm relação com a quantia de bpm de cada música."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como novamente estamos trabalhando com um dataset que já aborda as músicas mais populares entre 2010 e 2019, não é necessário estipular parâmetros de popularidade. Dito isso, para ter uma melhor noção de como esses dados estão distribuídos em relação a quantia de batidas por minuto e o grau de popularidade de cada música, é formado o gráfico a seguir:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'bpm')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure()\n",
    "f.set_figwidth(26)\n",
    "f.set_figheight(13)\n",
    "\n",
    "plt.scatter(first_df[\"bpm\"], first_df[\"pop\"], s = 160, color = \"darkblue\", alpha = 0.8)\n",
    "\n",
    "plt.ylabel(\"pop\", fontsize = 30)\n",
    "plt.xlabel(\"bpm\", fontsize = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Para saber se uma característica tem relação com a outra, não é simplesmente observar o índice de correlação de uma com a outra, sendo que será necessário analisar a média e o desvio padrão das batidas por minuto das músicas desse conjunto de dados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "118.54560530679933"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"bpm\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "24.795358311133825"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_df[\"bpm\"].std()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Logo, é visto que a grande maioria das músicas populares desse período possuem um valor médio de batidas por minuto específico, o qual é 118 BPM."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Com esses resultados podemos que concluir não somente que as músicas mais populares têm sim relação com o nível de bpm, mas também que as músicas com o bpm variando de 94 até 142 têm mais chance de se popularizarem entre as outras quem não estão dentro desse valor de batidas por minuto. Sendo essa outra característica em comum que as músicas mais populares desse período possuem entre si."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "### Para concluir a análise, será feito o agrupamento dos dados, o critério foi definido por quais músicas possuem mais popularidade e a quantia de bpm em comum entre si."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Antes, é feita a filtração de algumas colunas do dataframe que não são úteis para tal análise:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "unecessary = [\"year\", \"nrgy\", \"dnce\", \"dB\", \"live\", \"val\", \"dur\", \"acous\", \"spch\", \"title\", \"artist\", \"top genre\"]\n",
    "first_df = first_df.drop(unecessary, axis = \"columns\", inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dado isso, iremos realizar o que é conhecido como clusterização, ou agrupamento, onde o conjunto de dados analisado será separado em 3 diferentes grupos, para assim possibilitar a visualização de como as músicas mais populares entre 2010 e 2019 se relacionam com base na quantia de BPM."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Como tal processo não é tão simples quantos outros anteriores, os passos serão resumidos com uma pequena explicação do será feito a seguir;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Definir a quantia de agrupamentos, nesse caso é 3:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "km = KMeans(n_clusters = 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tratar esses dados de tal forma que ambos variem de 0 até 1:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = preprocessing.MinMaxScaler(feature_range = (0,1))\n",
    "\n",
    "max_bpm = max(first_df[\"bpm\"])\n",
    "min_bpm = min(first_df[\"bpm\"])\n",
    "\n",
    "max_pop = max(first_df[\"pop\"])\n",
    "min_pop = min(first_df[\"pop\"])\n",
    "\n",
    "first_df[\"bpm\"] = scaler.fit_transform(first_df[[\"bpm\"]])\n",
    "first_df[\"pop\"] = scaler.fit_transform(first_df[[\"pop\"]])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dividir o DataFrame em 3 conjuntos:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_predicted = km.fit_predict(first_df[[\"bpm\", \"pop\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inserir esses 3 novos grupos em uma nova coluna com o nome de \"cluster\" em nosso dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_df[\"cluster\"] = y_predicted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Separar esses 3 grupos em diferentes dataframes, em que cada grupo terá seu próprio dataframe representado por uma cor. Não somente, é exibido um gráfico mostrando \n",
    "tais grupos com suas respectivas cores e centróides:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7fad24a3ec70>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1872x936 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = first_df[first_df[\"cluster\"] == 0 ]\n",
    "df2 = first_df[first_df[\"cluster\"] == 1 ]\n",
    "df3 = first_df[first_df[\"cluster\"] == 2 ]\n",
    "\n",
    "f = plt.figure()\n",
    "f.set_figwidth(26)\n",
    "f.set_figheight(13)\n",
    "\n",
    "plt.scatter(df1[\"bpm\"], df1[\"pop\"], s = 160,  color = \"darkblue\", alpha = 0.8)\n",
    "plt.scatter(df2[\"bpm\"], df2[\"pop\"], s = 160, color = \"lightgreen\", alpha = 0.8)\n",
    "plt.scatter(df3[\"bpm\"], df3[\"pop\"], s = 160, color = \"red\", alpha = 0.8)\n",
    "\n",
    "plt.ylabel(\"pop\", fontsize = 30)\n",
    "plt.xlabel(\"bpm\", fontsize = 30)\n",
    "\n",
    "plt.scatter(km.cluster_centers_[:,0], km.cluster_centers_[:,1], s = 150, color = \"black\", marker = \"^\", label = \"centroid\")\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após analisar o gráfico, é importante destacar que esse conjunto de dados já se trata sobre músicas populares, e estamos analisando as músicas mais populares desse dataset, ou seja, estamos estudando as músicas que são consideradas extremamente populares do período de 2010 a 2019."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Após o gráfico ter sido feito, é preciso checar se os grupos separados realmente possuem alguma característica única entre eles. Todavia, os valores da quantia de bpm estão transformados em uma escala de 0 a 1, sendo que na realidade esse valor não é analisado dessa forma. Logo, é preciso adquirir esses valores em sua normalidade, que é feito adiante:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Média do valor de BPM: 139.00 e seu respectivo desvio padrão: 19.63 | Média do grau de popularidade desse mesmo grupo: 69.08\n",
      "Média do valor de BPM: 112.49 e seu respectivo desvio padrão: 22.88 | Média do grau de popularidade desse mesmo grupo: 43.45\n",
      "Média do valor de BPM: 101.69 e seu respectivo desvio padrão: 13.29 | Média do grau de popularidade desse mesmo grupo: 74.37\n"
     ]
    }
   ],
   "source": [
    "og_bpm_1 = (df1[\"bpm\"] * (max_bpm - min_bpm)) + min_bpm\n",
    "og_bpm_2 = (df2[\"bpm\"] * (max_bpm - min_bpm)) + min_bpm\n",
    "og_bpm_3 = (df3[\"bpm\"] * (max_bpm - min_bpm)) + min_bpm\n",
    "\n",
    "og_pop_1 = (df1[\"pop\"] * (max_pop - min_pop)) + min_pop\n",
    "og_pop_2 = (df2[\"pop\"] * (max_pop - min_pop)) + min_pop\n",
    "og_pop_3 = (df3[\"pop\"] * (max_pop - min_pop)) + min_pop\n",
    "\n",
    "print(f\"Média do valor de BPM: {og_bpm_1.mean():.2f} e seu respectivo desvio padrão: {og_bpm_1.std():.2f} | Média do grau de popularidade desse mesmo grupo: {og_pop_1.mean():.2f}\")\n",
    "print(f\"Média do valor de BPM: {og_bpm_2.mean():.2f} e seu respectivo desvio padrão: {og_bpm_2.std():.2f} | Média do grau de popularidade desse mesmo grupo: {og_pop_2.mean():.2f}\")\n",
    "print(f\"Média do valor de BPM: {og_bpm_3.mean():.2f} e seu respectivo desvio padrão: {og_bpm_3.std():.2f} | Média do grau de popularidade desse mesmo grupo: {og_pop_3.mean():.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Com a informação acima, é visto que os 3 grupos têm sim características próprias, em que cada conjunto possui um grau de popularidade específico que representa o seu respectivo valor de BPM, também é visto que o grupo com mais popularidade possui a quantia de bpm variando de 98 à 115, o que possibilita novas conclusões acerca do tema:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Dessa forma, é verificado que as músicas que são consideradas extremamente populares entre 2010 e 2019 têm o BPM na faixa de 98 até 115, porém como visto, esse valor não reflete a maioria do conjunto de dados ao se tratar da quantia de BPM."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusões finais"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Foi observado, através de diversas análises, que as músicas atuais são consideradas muito mais obscenas em comparação com músicas antigas, em específico quando comparadas com as músicas de 1950 até 2010, em que após o ano de 2010, o índice de obscenidade sobre as letras das canções são maiores do que anteriormente, não somente, o grau em que esse índice cresce também passa a ser cada vez maior. Além disso, é visto que em músicas que são consideradas tristes, existem algumas palavras específicas que tendem a aparecer nas letras dessas músicas, o mesmo acontece com músicas românticas. Ainda sobre músicas alegres, foi entendido que canções que tem esse humor positivo são bem mais prováveis de serem dançadas e aproveitadas. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Sobre as músicas mais populares de 2010 até 2019 da plataforma de streaming Spotify, foi concluído que as músicas \"hits\" realmente possuem relações em comum entre si, em que foi compreendido que a grande maioria dessas músicas têm um humor alegre e positivo, e que a duração dessas músicas varia em torno de 3 minutos e 10 segundos à 4 minutos e 18 segundos, tornando esses dois fatores que contribuem para o grau de popularização das músicas atuais. Não só, essas mesmas músicas geralmente  compartilham uma quantia específica de batidas por minuto, que varia de 94 até 142, tal como foi analisado das 603 músicas mais populares da década de 2010, 500 delas são categorizadas como Pop, o que definitivamente torna esse gênero musical o mais popular da década de 2010. Logo, temos como resultado que essas quatro características são alguns dos indicadores importantes que influenciam para as músicas atuais se popularizarem, ou seja, se for posto em análise uma música que possui tais características, é mais provável que essa mesma música seja mais popular do que outra música que não se encaixa nessas categorias musicais."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Limitações"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Esse projeto teve como base dois conjuntos de dados, os quais serviram como fonte de informação para nossa análise, todavia, houveram algumas limitações presentes no trabalho, em que alguns dados fizeram falta nessa análise, por exemplo o índice de popularidade no dataset das músicas lançadas entre 1950 e 2019, assim como seria interessante saber as letras das músicas mais populares de 2010 até 2019 da platafroma de streaming Spotify."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Trabalhos futuros"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Como dito, a falta de algumas informações impossibilitaram outras análises, sendo que com a obtenção das letras das músicas mais populares entre 2010 e 2019, seria possível estudar, se existem, algumas características e palavras em comum presentes nas letras dessas músicas, se atentando para peculiaridades nessas análise. Seria interessante também fazer o estudo das músicas lançadas entre 2010 e 2019, semelhante ao que foi feito nesse projeto, só que dessa vez com a informação extra do quanto as músicas são consideradas populares, afim de obter novas informações acerca desse tema."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Uma outra ideia que foi sendo gerada com o andamento do trabalho, foi a de fazer um projeto que seria capaz de prever, com base nos dados fornecidos ao programa, o quanto determinada música conseguiria se tornar popular, ou ainda mesmo dar ínicio a um programa com a capacidade de \"produzir\" uma música que teria todas as características que são necessárias para um música se popularizar na atualidade."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Melhorias"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    Apesar do projeto produzido ter nos agradado, existem algumas melhorias que gostaríamos de ter feito, em que seria interessante analisar outras características musicais de ambos os datasets, haja vista que mais da metade das características musicais do dataset que trata sobre as músicas lançadas entre 1950 e 2019 não foram analisadas. Não somente, um bom e informativo resultado seria obtido a partir da análise voltada para os artistas e suas respectivas músicas do dataset das músicas mais populares de 2010 a 2019 do Spotify, com a finalidade de obter informações acerca desse tema."
   ]
  }
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