spotify_project/data_cleaning.ipynb

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  {
   "cell_type": "markdown",
   "id": "178bb754-0cc4-4ee0-badb-f3ef3e883f5e",
   "metadata": {},
   "source": [
    "# Spotify Çalma Listesi ile Yeni Benzer Bir Çalma Listesi Oluşturma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5c4f1bad-91c7-4a36-ad66-c71968a8ee4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import IFrame\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.options.mode.chained_assignment = None\n",
    "from scipy.stats import pearsonr\n",
    "from scipy.stats import ttest_ind\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans\n",
    "pd.set_option('display.float_format', lambda x: '%.2f' % x)\n",
    "from sklearn import datasets\n",
    "from yellowbrick.target import FeatureCorrelation\n",
    "import plotly.express as px \n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "from IPython.display import display, HTML\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c13bcee9-e0c0-49e2-803a-65c81e614a07",
   "metadata": {},
   "source": [
    "## Veri Seti"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9fc55f46-0a44-4622-9e43-b71060207e2d",
   "metadata": {
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     "slide_type": ""
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    "tags": []
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   "source": [
    "Spotify öneri sistemi için kullanılan veri kümesi (data4.csv başlıklı), Spotify'da bulunan 1921-2020 yılları arasındaki 2.26 milyondan fazla parçadan oluşmaktadır. Kaggle kullanıcısı Sara Babu tarafından Spotify Millions Playlist'ten esinlenilerek toplanan veriler, Spotify Web API'dan ve scraping yöntemleri ile alınmış ve tablolaştırılmıştır. Veri kümesindeki her satır bir parçaya karşılık gelir ve URI, danceability, energy, key, loudness, mode, speechiness, accousticness, instrumentalness, liveness, valence, tempo, time_signature, duration_ms, popularity ve release_date gibi feature'lar ilgili sütunlarda yer alır. Bu temel değişkenlerle birlikte eksik olan name ve artists gibi değişkenler çalışma boyunca doldurulmuş ve birçok feature daha kullanılabilir hale getirilerek veri setinin ideal forma gelmesi sağlanmıştır. Çalışmanın güvenilirliğinin sağlanması amacıyla Spotify Millions veri seti, Yamaç Eren Ay'ın Spotify veri seti, Jefin Paul'un 170k'lık Spotify veri seti çalışmaları da testler boyunca kullanılmıştır.\n",
    "\n",
    "Veri setini incelemek için çağıralım:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fbf24deb-fc35-424c-9bee-7602921cad05",
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    {
     "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",
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       "    }\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>uri</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>popularity</th>\n",
       "      <th>release_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spotify:track:0UaMYEvWZi0ZqiDOoHU3YI</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.81</td>\n",
       "      <td>4</td>\n",
       "      <td>-7.11</td>\n",
       "      <td>0</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.81</td>\n",
       "      <td>125.46</td>\n",
       "      <td>4</td>\n",
       "      <td>226863</td>\n",
       "      <td>64</td>\n",
       "      <td>2005-07-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spotify:track:6I9VzXrHxO9rA9A5euc8Ak</td>\n",
       "      <td>0.77</td>\n",
       "      <td>0.84</td>\n",
       "      <td>5</td>\n",
       "      <td>-3.91</td>\n",
       "      <td>0</td>\n",
       "      <td>0.11</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.92</td>\n",
       "      <td>143.04</td>\n",
       "      <td>4</td>\n",
       "      <td>198800</td>\n",
       "      <td>78</td>\n",
       "      <td>2003-11-13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spotify:track:0WqIKmW4BTrj3eJFmnCKMv</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.76</td>\n",
       "      <td>2</td>\n",
       "      <td>-6.58</td>\n",
       "      <td>0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.70</td>\n",
       "      <td>99.26</td>\n",
       "      <td>4</td>\n",
       "      <td>235933</td>\n",
       "      <td>18</td>\n",
       "      <td>2003-06-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spotify:track:1AWQoqb9bSvzTjaLralEkT</td>\n",
       "      <td>0.89</td>\n",
       "      <td>0.71</td>\n",
       "      <td>4</td>\n",
       "      <td>-6.05</td>\n",
       "      <td>0</td>\n",
       "      <td>0.14</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.82</td>\n",
       "      <td>100.97</td>\n",
       "      <td>4</td>\n",
       "      <td>267266</td>\n",
       "      <td>73</td>\n",
       "      <td>2002-11-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spotify:track:1lzr43nnXAijIGYnCT8M8H</td>\n",
       "      <td>0.85</td>\n",
       "      <td>0.61</td>\n",
       "      <td>0</td>\n",
       "      <td>-4.60</td>\n",
       "      <td>1</td>\n",
       "      <td>0.07</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.65</td>\n",
       "      <td>94.76</td>\n",
       "      <td>4</td>\n",
       "      <td>227600</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    uri  danceability  energy  key  loudness  \\\n",
       "0  spotify:track:0UaMYEvWZi0ZqiDOoHU3YI          0.90    0.81    4     -7.11   \n",
       "1  spotify:track:6I9VzXrHxO9rA9A5euc8Ak          0.77    0.84    5     -3.91   \n",
       "2  spotify:track:0WqIKmW4BTrj3eJFmnCKMv          0.66    0.76    2     -6.58   \n",
       "3  spotify:track:1AWQoqb9bSvzTjaLralEkT          0.89    0.71    4     -6.05   \n",
       "4  spotify:track:1lzr43nnXAijIGYnCT8M8H          0.85    0.61    0     -4.60   \n",
       "\n",
       "   mode  speechiness  acousticness  instrumentalness  liveness  valence  \\\n",
       "0     0         0.12          0.03              0.01      0.05     0.81   \n",
       "1     0         0.11          0.02              0.03      0.24     0.92   \n",
       "2     0         0.21          0.00              0.00      0.06     0.70   \n",
       "3     0         0.14          0.20              0.00      0.05     0.82   \n",
       "4     1         0.07          0.06              0.00      0.31     0.65   \n",
       "\n",
       "   tempo  time_signature  duration_ms  popularity release_date  \n",
       "0 125.46               4       226863          64   2005-07-04  \n",
       "1 143.04               4       198800          78   2003-11-13  \n",
       "2  99.26               4       235933          18   2003-06-23  \n",
       "3 100.97               4       267266          73   2002-11-04  \n",
       "4  94.76               4       227600           0         2000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Veri setlerini yükle\n",
    "data = pd.read_csv('model/data/data4.csv')\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9c24d61f-19da-43ed-8e91-9b4b5d89e041",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2259837 entries, 0 to 2259836\n",
      "Data columns (total 16 columns):\n",
      " #   Column            Dtype  \n",
      "---  ------            -----  \n",
      " 0   uri               object \n",
      " 1   danceability      float64\n",
      " 2   energy            float64\n",
      " 3   key               int64  \n",
      " 4   loudness          float64\n",
      " 5   mode              int64  \n",
      " 6   speechiness       float64\n",
      " 7   acousticness      float64\n",
      " 8   instrumentalness  float64\n",
      " 9   liveness          float64\n",
      " 10  valence           float64\n",
      " 11  tempo             float64\n",
      " 12  time_signature    int64  \n",
      " 13  duration_ms       int64  \n",
      " 14  popularity        int64  \n",
      " 15  release_date      object \n",
      "dtypes: float64(9), int64(5), object(2)\n",
      "memory usage: 275.9+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81f31b82-63c9-4478-85a6-897538a416d9",
   "metadata": {},
   "source": [
    "### Veri Özellikleri ve İhtiyaç Duyacağımız Yeni Özellikleri Oluşturma\n",
    "Veri setindeki değişkenler belirlenirken bir öneri listesi oluşturabilmemiz için ihtiyaç duyacağımız featurelar belirlenerek seçilmiştir, her satırdaki bir parçayı tanımlamakta ve her birine farklı parametreler arasında bize bir sayısal bağlam sağlar. Spotify'ın Web API'ından alınan parçanın ses özelliklerine dayanmaktadır.Aşağıda değişkenlerin listesi ve açıklamaları yer almaktadır:\n",
    "- uri: Her parça için benzersiz bir tanımlayıcı.\n",
    "- name: Şarkı ismi\n",
    "- artists: Sanatçı ismi\n",
    "- duration_ms: Parçanın milisaniye (ms) cinsinden uzunluğu.\n",
    "- release_date: Parçanın MM/DD/YYYY veya en azından YYYY olarak yayınlanma tarihi.\n",
    "- year: Parçanın yayınlandığı yıl.\n",
    "- acousticness*: Parçanın akustik olup olmadığına dair 0,0 ile 1,0 arasında bir güven ölçüsü.\n",
    "- danceability*: Bir parçanın dans için ne kadar uygun olduğunu açıklar. 0.0 değeri en az dans edilebilir, 1.0 değeri ise en çok dans edilebilir anlamına gelir.\n",
    "- energy*: Enerji, 0,0 ila 1,0 arasında bir ölçüdür ve algısal olarak yoğunluk ve aktivite ölçüsünü temsil eder. Tipik olarak, enerjik parçalar hızlı ve gürültülü hissettirir.\n",
    "- instrumentalness*: Bir parçanın vokal içerip içermediğini tahmin eder.\n",
    "- liveness*: Kayıtta bir dinleyicinin varlığını tespit eder.\n",
    "- loudness*: Desibel (dB) cinsinden bir parçanın genel ses yüksekliği.\n",
    "- speachiness*: Bir parçada konuşulan kelimelerin varlığını algılar.\n",
    "- tempo*: Bir parçanın dakika başına vuruş (BPM) cinsinden genel tahmini temposu.\n",
    "- valence*: Bir parça tarafından aktarılan müzikal pozitifliği tanımlayan 0,0 ila 1,0 arasında bir ölçü.\n",
    "- mode: Bir parçanın modalitesinden gelen melodik içerik. 1 = Majör; 0 = Minör.\n",
    "- key: Pitch Class notasyonundan bir parçanın tahmini genel anahtarı. Örneğin 0 = C, 1 = C♯/D♭, 2 = D, vb.\n",
    "- popularity: Bir parçanın popülerliği, Spotify'ın algoritmasına göre 100'ün en popüler olduğu 0-100 arası.\n",
    "- explicit: Parçanın müstehcen sözlere sahip olup olmadığı. 1 = Doğru; 0 = Yanlış.\n",
    "\n",
    "Burada incelenecek oldukça fazla değişken var, ancak burada aşağıdaki Keşifsel Veri Analizi ve Spotify verileri üzerinde İleri İnceleme ve Çıkarım ile ilgili olmayan tek sütun time_signature'dur. Basitlik adına, bu ilgisiz değişkeni drop ediyoruz. Veriyi daha rahat takip edebilmemiz için ilk olarak id eklemesi yapıyoruz ve ihtiyacımız olan sütunları düzenliyoruz:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2758e4d3-09b2-4ca9-b2c7-db35d6733ae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.dropna()\n",
    "data['id'] = range(1, len(data) + 1)\n",
    "desired_columns = ['id', 'uri', 'acousticness', 'danceability', 'duration_ms', 'energy', 'instrumentalness', 'key', 'liveness', 'loudness', 'mode', 'release_date', 'speechiness', 'tempo', 'valence', 'popularity']\n",
    "data = data[desired_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b62e06f1-68d2-440c-a85e-16b7d159ac4c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "Tarih verisini kullanabileceğimiz bir format olan yıl formatına dönüştürüyoruz:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "db426eca-a793-4e93-939e-070887be3402",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         2005.00\n",
       "1         2003.00\n",
       "2         2003.00\n",
       "3         2002.00\n",
       "4         2000.00\n",
       "            ...  \n",
       "2259832   2015.00\n",
       "2259833   2016.00\n",
       "2259834   2016.00\n",
       "2259835   2017.00\n",
       "2259836   2015.00\n",
       "Name: year, Length: 2259837, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'YYYY' formatındaki değerleri 'YYYY-01-01' tarih formatına dönüştür\n",
    "mask = data['release_date'].str.len() == 4\n",
    "data.loc[mask, 'release_date'] = pd.to_datetime(data.loc[mask, 'release_date'] + '-01-01', errors='coerce')\n",
    "\n",
    "# Yıl sütununu ekleyerek tarihi çıkart\n",
    "data['year'] = pd.to_datetime(data['release_date'], errors='coerce').dt.year\n",
    "data['year']\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "858b005c-586d-45ed-9bc3-3c49860ff406",
   "metadata": {},
   "source": [
    "Key ve mode bu haliyle kullanıma uygun olmadığından dolayı letter versiyonuna dönüştürüyoruz ve yılı da decade olarak bir aralık olarak kullanmak istediğimizden dolayı yıl aralıklarına dönüştürüyoruz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dc3ebe54-4fe9-4a24-9cde-a14543669a3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# key ve mode sütunlarını seslere çevir\n",
    "keys = {0:'C', 1:'Db',2:'D',3:'Eb',4:'E',5:'F',6:'F#',7:'G',8:'Ab',9:'A',10:'Bb',11:'B'}\n",
    "modes = {0:'Minor',1:'Major'}\n",
    "\n",
    "# yeni sütunları ekle\n",
    "data['letter_keys'] = data['key'].map(keys)\n",
    "data['modes'] = data['mode'].map(modes)\n",
    "\n",
    "# key ve mode sütunlarını birleştir yeni bir sütun oluştur\n",
    "data['key_mode'] = data['letter_keys'] + \" \" + data['modes']\n",
    "data['decade'] = data['year'].apply(lambda x: str(x)[:3]+'0')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb464588-6ef0-45f3-a2b9-3acaf7dc0008",
   "metadata": {},
   "source": [
    "### Aykırı Değer Düzenleme\n",
    "Eşik değer ortalamasından 5 aşağı ve yukarı olacak şekilde standart sapma uyguluyoruz ve aykırı değerleri (outliers) düzenliyoruz. Aykırı değerler, genellikle bir veri setindeki diğer değerlerden önemli ölçüde farklı olan değerlerdir. Bu değerler, genellikle veri analizi ve modelleme süreçlerinde bize engel olabiliyor.\r\n",
    "Bundan dolayıı, veri setindeki sayısal sütunlarseçipve her bir sütun için, değerlerin ortalamasının 5 standart sapma üzerinde veya altında olan değerlerbuluyoruzur. Standart sapma, bir veri setindeki değerlerin ne kadar yayıldığınölçtüğünden,ro Ortalamanın 5 standart sapma üzerinde veya altında olan değerler, genellikle aykırı değerler olarak kabuediyoruzi \r\n",
    "\r\n",
    "Bu değerler bulunduktan sonra, np.select fonksiyonu kullanılarak bu aykırı değerler, sırasıyla ortalamasının 5 standart sapma üzerinde veya altında olan değerlerle değiştirilir. Bu, aykırı değerlerin etkisini azaltır ve veri setinin genel dağılımını daha iyi temsil etmesini sağlidir."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0e5c1873-fcb4-4409-bf5c-b22706590ad4",
   "metadata": {},
   "outputs": [],
   "source": [
    "numerical_cols = data.select_dtypes(include=[np.number]).columns\n",
    "for feat in numerical_cols:\n",
    "    abv_5_std = data[feat].mean()+ 5* data[feat].std()\n",
    "    below_5_std = data[feat].mean()- 5* data[feat].std()\n",
    "    conditions = [data[feat]>abv_5_std, data[feat]<below_5_std]\n",
    "    choices = [abv_5_std, below_5_std]\n",
    "    data[feat] = np.select(conditions, choices, data[feat])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "931566f8-9d74-4032-a906-ac4f5898d8ef",
   "metadata": {},
   "source": [
    "Ardından veri setinin son haline bir göz atalım:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b9f896a5-5344-4ff0-9873-5d45c4e3be53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2259837 entries, 0 to 2259836\n",
      "Data columns (total 21 columns):\n",
      " #   Column            Dtype  \n",
      "---  ------            -----  \n",
      " 0   id                float64\n",
      " 1   uri               object \n",
      " 2   acousticness      float64\n",
      " 3   danceability      float64\n",
      " 4   duration_ms       float64\n",
      " 5   energy            float64\n",
      " 6   instrumentalness  float64\n",
      " 7   key               float64\n",
      " 8   liveness          float64\n",
      " 9   loudness          float64\n",
      " 10  mode              float64\n",
      " 11  release_date      object \n",
      " 12  speechiness       float64\n",
      " 13  tempo             float64\n",
      " 14  valence           float64\n",
      " 15  popularity        float64\n",
      " 16  year              float64\n",
      " 17  letter_keys       object \n",
      " 18  modes             object \n",
      " 19  key_mode          object \n",
      " 20  decade            object \n",
      "dtypes: float64(15), object(6)\n",
      "memory usage: 362.1+ MB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>valence</th>\n",
       "      <th>popularity</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2259837.00</td>\n",
       "      <td>2254504.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1129919.00</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.55</td>\n",
       "      <td>244112.67</td>\n",
       "      <td>0.58</td>\n",
       "      <td>0.22</td>\n",
       "      <td>5.26</td>\n",
       "      <td>0.21</td>\n",
       "      <td>-9.65</td>\n",
       "      <td>0.66</td>\n",
       "      <td>0.09</td>\n",
       "      <td>119.99</td>\n",
       "      <td>0.48</td>\n",
       "      <td>7.26</td>\n",
       "      <td>2007.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>652358.89</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.18</td>\n",
       "      <td>111411.61</td>\n",
       "      <td>0.27</td>\n",
       "      <td>0.35</td>\n",
       "      <td>3.56</td>\n",
       "      <td>0.19</td>\n",
       "      <td>5.59</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.10</td>\n",
       "      <td>29.92</td>\n",
       "      <td>0.27</td>\n",
       "      <td>11.46</td>\n",
       "      <td>10.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-37.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1953.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>564960.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.43</td>\n",
       "      <td>184156.00</td>\n",
       "      <td>0.39</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-11.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>96.94</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2005.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1129919.00</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.56</td>\n",
       "      <td>225200.00</td>\n",
       "      <td>0.62</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>-8.18</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>120.01</td>\n",
       "      <td>0.47</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2011.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1694878.00</td>\n",
       "      <td>0.69</td>\n",
       "      <td>0.69</td>\n",
       "      <td>278203.00</td>\n",
       "      <td>0.81</td>\n",
       "      <td>0.42</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>-5.83</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.08</td>\n",
       "      <td>138.06</td>\n",
       "      <td>0.70</td>\n",
       "      <td>11.00</td>\n",
       "      <td>2014.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2259837.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1037414.29</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.92</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>249.99</td>\n",
       "      <td>1.00</td>\n",
       "      <td>64.68</td>\n",
       "      <td>2022.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              id  acousticness  danceability  duration_ms     energy  \\\n",
       "count 2259837.00    2259837.00    2259837.00   2259837.00 2259837.00   \n",
       "mean  1129919.00          0.35          0.55    244112.67       0.58   \n",
       "std    652358.89          0.35          0.18    111411.61       0.27   \n",
       "min         1.00          0.00          0.00         0.00       0.00   \n",
       "25%    564960.00          0.02          0.43    184156.00       0.39   \n",
       "50%   1129919.00          0.21          0.56    225200.00       0.62   \n",
       "75%   1694878.00          0.69          0.69    278203.00       0.81   \n",
       "max   2259837.00          1.00          1.00   1037414.29       1.00   \n",
       "\n",
       "       instrumentalness        key   liveness   loudness       mode  \\\n",
       "count        2259837.00 2259837.00 2259837.00 2259837.00 2259837.00   \n",
       "mean               0.22       5.26       0.21      -9.65       0.66   \n",
       "std                0.35       3.56       0.19       5.59       0.48   \n",
       "min                0.00       0.00       0.00     -37.78       0.00   \n",
       "25%                0.00       2.00       0.10     -11.91       0.00   \n",
       "50%                0.00       5.00       0.13      -8.18       1.00   \n",
       "75%                0.42       8.00       0.26      -5.83       1.00   \n",
       "max                1.00      11.00       1.00       4.92       1.00   \n",
       "\n",
       "       speechiness      tempo    valence  popularity       year  \n",
       "count   2259837.00 2259837.00 2259837.00  2259837.00 2254504.00  \n",
       "mean          0.09     119.99       0.48        7.26    2007.61  \n",
       "std           0.10      29.92       0.27       11.46      10.67  \n",
       "min           0.00       0.00       0.00        0.00    1953.53  \n",
       "25%           0.04      96.94       0.25        0.00    2005.00  \n",
       "50%           0.05     120.01       0.47        1.00    2011.00  \n",
       "75%           0.08     138.06       0.70       11.00    2014.00  \n",
       "max           0.67     249.99       1.00       64.68    2022.00  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.info()\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b973597-367b-4673-9506-3fc146b406e3",
   "metadata": {},
   "source": [
    "### Veri Normalleştirme\n",
    "Sırada veri normalleştirme işlemi gerçekleştirilmesi var. Normalleştirme işlemini farklı ölçeklere sahip olan veri özelliklerini (features) ortak bir ölçeğe getirmek için kullanıyoruz.\n",
    "\n",
    "Aşağıdaki yöntemde min-max normalleştirme tekniğini kullanıyoruz. Bu teknik, bir özelliğin değerlerini 0 ile 1 arasında bir aralığa ölçeklendirir. Bu, aşağıdaki formül ile yapılır:\n",
    "\n",
    " - (x - min(x)) / (max(x) - min(x))\n",
    "\n",
    "Bu formül, x değerinin özelliğin minimum değerinden çıkarılması ve sonucun özelliğin maksimum değeri ile minimum değeri arasındaki farka bölünmesi ile çalışır. Bu, x değerini 0 ile 1 arasında bir değere dönüştürür.\n",
    "\n",
    "Bu işlemi veri setindeki bir dizi özellik için gerçekleştiriyoruz bunlar: 'speechiness', 'duration_ms', 'instrumentalness', 'loudness', 'tempo', 'energy', 'danceability' ve 'popularity'. Her özellik için, normalleştirilmiş değerler yeni bir sütunda saklanacak şekilde işlemi tamamlıyoruz. Bu yeni sütunların adları, orijinal özellik adlarına 'scaled_' öneki eklenerek oluşturuyoruz.\n",
    "\n",
    "Bu normalleştirme işlemi sayesinde veri setindeki özelliklerin farklı ölçeklerde olmasından kaynaklanabilecek potansiyel sorunları önlemeyi amaçlıyoruz. Veri setinin özelliği gereği bazı feature'lar farklı ölçeklere sahip olduğundna dolayı, karşılıklı olarak birbirleriyle karşılaştırılması veya birbirleriyle birleştirilmesi gereken durumlardaki kararsızlık veya yanlış heaplamaları önleyerek performansı iyileştiriyor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fdd6ef3a-f41d-40c6-a2e1-4fed745769a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['scaled_speech'] = (data['speechiness'] - min(data['speechiness'])) / (max(data['speechiness']) - min(data['speechiness']))\n",
    "data['scaled_duration'] = (data['duration_ms'] - min(data['duration_ms'])) / (max(data['duration_ms']) - min(data['duration_ms']))\n",
    "data['scaled_instrumentalness'] = (data['instrumentalness'] - min(data['instrumentalness'])) / (max(data['instrumentalness']) - min(data['instrumentalness']))\n",
    "data['scaled_loudness'] = (data['loudness'] - min(data['loudness'])) / (max(data['loudness']) - min(data['loudness']))\n",
    "data['scaled_tempo'] = (data['tempo'] - min(data['tempo'])) / (max(data['tempo']) - min(data['tempo']))\n",
    "data['scaled_energy'] = (data['energy'] - min(data['energy'])) / (max(data['energy']) - min(data['energy']))\n",
    "data['scaled_danceability'] = (data['danceability'] - min(data['danceability'])) / (max(data['danceability']) - min(data['danceability']))\n",
    "data['scaled_popularity'] = (data['popularity'] - min(data['popularity'])) / (max(data['popularity']) - min(data['popularity']))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2e2edb1-07f5-4e83-b272-122268e82de2",
   "metadata": {},
   "source": [
    "### Dummy ile One-hot kodlama\n",
    "Dummyler oluşturarak sayısal olmayan verilerin hesaplanabilmesi için uygun ortamı hazırlayalım. Kategorik değişkenleri one-hot olarak kodlayarak sayısal formata dönüştürelim. 'key_mode' ve 'decade' adlı iki kategorik değişkenine de aynı işlemi uygulayalım sonra bu yeni dummy sütunları orijinal veri çerçevesine ekleyelim."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "37ab6869-a0b5-4541-ab11-30a715f4a341",
   "metadata": {},
   "outputs": [],
   "source": [
    "key_dummies = pd.get_dummies(data['key_mode'], drop_first=True)\n",
    "decade_dummies = pd.get_dummies(data['decade'], drop_first=False)\n",
    "data = pd.concat([data, key_dummies, decade_dummies], axis=1)\n",
    "# 1980's'den 2020's'e kadar olan decadeleri ekle\n",
    "decades = ['1960','1970','1980', '1990', '2000', '2010', '2020']\n",
    "for decade in decades:\n",
    "    if decade not in data.columns:\n",
    "        data[decade] = False"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c035c5cd-e08d-4135-9cc4-eeb7e2ce9f8b",
   "metadata": {},
   "source": [
    "### Son Hale Getirme\n",
    "İhtiyacımız olan tüm columnları istediğimiz sıraya getirerek veriyi işlenmeye hazır hale getirelim."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d8ef472f-d277-4c4e-a386-dc5664362c41",
   "metadata": {},
   "outputs": [],
   "source": [
    "desired_columns = ['id', 'uri', 'popularity', 'instrumentalness', 'key', 'liveness', 'danceability', 'loudness', 'mode', 'speechiness', 'tempo', 'valence', 'energy', 'release_date',  'year', 'decade', 'letter_keys', 'modes', 'key_mode', 'scaled_speech', 'scaled_danceability', 'scaled_instrumentalness', 'scaled_duration', 'scaled_loudness', 'scaled_tempo', 'scaled_energy', 'scaled_popularity', 'A Minor', 'Ab Major', 'Ab Minor', 'B Major', 'B Minor', 'Bb Major', 'Bb Minor', 'C Major', 'C Minor', 'D Major', 'D Minor', 'Db Major', 'Db Minor', 'E Major', 'E Minor', 'Eb Major', 'Eb Minor', 'F Major', 'F Minor', 'F# Major', 'F# Minor', 'G Major', 'G Minor','1960', '1970', '1980', '1990', '2000', '2010', '2020']\n",
    "data = data[desired_columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ef08ff9-8046-4921-bb88-c4e6a3990777",
   "metadata": {},
   "source": [
    "Son halinin çıktısı aşığıdaki gibi olacaktır"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cd44cba3-3c22-4579-b619-974b40b7526b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 2254504 entries, 0 to 2259836\n",
      "Data columns (total 57 columns):\n",
      " #   Column                   Dtype  \n",
      "---  ------                   -----  \n",
      " 0   id                       float64\n",
      " 1   uri                      object \n",
      " 2   popularity               float64\n",
      " 3   instrumentalness         float64\n",
      " 4   key                      float64\n",
      " 5   liveness                 float64\n",
      " 6   danceability             float64\n",
      " 7   loudness                 float64\n",
      " 8   mode                     float64\n",
      " 9   speechiness              float64\n",
      " 10  tempo                    float64\n",
      " 11  valence                  float64\n",
      " 12  energy                   float64\n",
      " 13  release_date             object \n",
      " 14  year                     float64\n",
      " 15  decade                   object \n",
      " 16  letter_keys              object \n",
      " 17  modes                    object \n",
      " 18  key_mode                 object \n",
      " 19  scaled_speech            float64\n",
      " 20  scaled_danceability      float64\n",
      " 21  scaled_instrumentalness  float64\n",
      " 22  scaled_duration          float64\n",
      " 23  scaled_loudness          float64\n",
      " 24  scaled_tempo             float64\n",
      " 25  scaled_energy            float64\n",
      " 26  scaled_popularity        float64\n",
      " 27  A Minor                  bool   \n",
      " 28  Ab Major                 bool   \n",
      " 29  Ab Minor                 bool   \n",
      " 30  B Major                  bool   \n",
      " 31  B Minor                  bool   \n",
      " 32  Bb Major                 bool   \n",
      " 33  Bb Minor                 bool   \n",
      " 34  C Major                  bool   \n",
      " 35  C Minor                  bool   \n",
      " 36  D Major                  bool   \n",
      " 37  D Minor                  bool   \n",
      " 38  Db Major                 bool   \n",
      " 39  Db Minor                 bool   \n",
      " 40  E Major                  bool   \n",
      " 41  E Minor                  bool   \n",
      " 42  Eb Major                 bool   \n",
      " 43  Eb Minor                 bool   \n",
      " 44  F Major                  bool   \n",
      " 45  F Minor                  bool   \n",
      " 46  F# Major                 bool   \n",
      " 47  F# Minor                 bool   \n",
      " 48  G Major                  bool   \n",
      " 49  G Minor                  bool   \n",
      " 50  1960                     bool   \n",
      " 51  1970                     bool   \n",
      " 52  1980                     bool   \n",
      " 53  1990                     bool   \n",
      " 54  2000                     bool   \n",
      " 55  2010                     bool   \n",
      " 56  2020                     bool   \n",
      "dtypes: bool(30), float64(21), object(6)\n",
      "memory usage: 546.1+ MB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>uri</th>\n",
       "      <th>popularity</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>...</th>\n",
       "      <th>F# Minor</th>\n",
       "      <th>G Major</th>\n",
       "      <th>G Minor</th>\n",
       "      <th>1960</th>\n",
       "      <th>1970</th>\n",
       "      <th>1980</th>\n",
       "      <th>1990</th>\n",
       "      <th>2000</th>\n",
       "      <th>2010</th>\n",
       "      <th>2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.00</td>\n",
       "      <td>spotify:track:0UaMYEvWZi0ZqiDOoHU3YI</td>\n",
       "      <td>64.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.90</td>\n",
       "      <td>-7.11</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.12</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.00</td>\n",
       "      <td>spotify:track:6I9VzXrHxO9rA9A5euc8Ak</td>\n",
       "      <td>64.68</td>\n",
       "      <td>0.03</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.24</td>\n",
       "      <td>0.77</td>\n",
       "      <td>-3.91</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.11</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.00</td>\n",
       "      <td>spotify:track:0WqIKmW4BTrj3eJFmnCKMv</td>\n",
       "      <td>18.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.06</td>\n",
       "      <td>0.66</td>\n",
       "      <td>-6.58</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.21</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.00</td>\n",
       "      <td>spotify:track:1AWQoqb9bSvzTjaLralEkT</td>\n",
       "      <td>64.68</td>\n",
       "      <td>0.00</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.89</td>\n",
       "      <td>-6.05</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.14</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.00</td>\n",
       "      <td>spotify:track:1lzr43nnXAijIGYnCT8M8H</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.31</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-4.60</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.07</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2259832</th>\n",
       "      <td>2259833.00</td>\n",
       "      <td>spotify:track:5wIzEF7fP5qHlaHPtZtjgZ</td>\n",
       "      <td>10.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.65</td>\n",
       "      <td>-8.73</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.19</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2259833</th>\n",
       "      <td>2259834.00</td>\n",
       "      <td>spotify:track:3Hk3aKs0JGR4BKHSoBwnA9</td>\n",
       "      <td>3.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>0.50</td>\n",
       "      <td>0.81</td>\n",
       "      <td>-6.23</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.08</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2259834</th>\n",
       "      <td>2259835.00</td>\n",
       "      <td>spotify:track:719DKMPmy7HxikHdzbfiI2</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.48</td>\n",
       "      <td>0.67</td>\n",
       "      <td>-1.50</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.27</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2259835</th>\n",
       "      <td>2259836.00</td>\n",
       "      <td>spotify:track:0T4xJPTJdNd5cPwHdPCIGU</td>\n",
       "      <td>12.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.61</td>\n",
       "      <td>-3.08</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.30</td>\n",
       "      <td>...</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2259836</th>\n",
       "      <td>2259837.00</td>\n",
       "      <td>spotify:track:2wRHyMZhfpeWZQyoJDvCxS</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.76</td>\n",
       "      <td>-7.21</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.09</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2254504 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                id                                   uri  popularity  \\\n",
       "0             1.00  spotify:track:0UaMYEvWZi0ZqiDOoHU3YI       64.00   \n",
       "1             2.00  spotify:track:6I9VzXrHxO9rA9A5euc8Ak       64.68   \n",
       "2             3.00  spotify:track:0WqIKmW4BTrj3eJFmnCKMv       18.00   \n",
       "3             4.00  spotify:track:1AWQoqb9bSvzTjaLralEkT       64.68   \n",
       "4             5.00  spotify:track:1lzr43nnXAijIGYnCT8M8H        0.00   \n",
       "...            ...                                   ...         ...   \n",
       "2259832 2259833.00  spotify:track:5wIzEF7fP5qHlaHPtZtjgZ       10.00   \n",
       "2259833 2259834.00  spotify:track:3Hk3aKs0JGR4BKHSoBwnA9        3.00   \n",
       "2259834 2259835.00  spotify:track:719DKMPmy7HxikHdzbfiI2        2.00   \n",
       "2259835 2259836.00  spotify:track:0T4xJPTJdNd5cPwHdPCIGU       12.00   \n",
       "2259836 2259837.00  spotify:track:2wRHyMZhfpeWZQyoJDvCxS        0.00   \n",
       "\n",
       "         instrumentalness   key  liveness  danceability  loudness  mode  \\\n",
       "0                    0.01  4.00      0.05          0.90     -7.11  0.00   \n",
       "1                    0.03  5.00      0.24          0.77     -3.91  0.00   \n",
       "2                    0.00  2.00      0.06          0.66     -6.58  0.00   \n",
       "3                    0.00  4.00      0.05          0.89     -6.05  0.00   \n",
       "4                    0.00  0.00      0.31          0.85     -4.60  1.00   \n",
       "...                   ...   ...       ...           ...       ...   ...   \n",
       "2259832              0.00  8.00      0.26          0.65     -8.73  0.00   \n",
       "2259833              0.00 11.00      0.50          0.81     -6.23  0.00   \n",
       "2259834              0.00  9.00      0.48          0.67     -1.50  0.00   \n",
       "2259835              0.00  6.00      0.21          0.61     -3.08  0.00   \n",
       "2259836              0.00  8.00      0.10          0.76     -7.21  1.00   \n",
       "\n",
       "         speechiness  ...  F# Minor  G Major  G Minor   1960   1970   1980  \\\n",
       "0               0.12  ...     False    False    False  False  False  False   \n",
       "1               0.11  ...     False    False    False  False  False  False   \n",
       "2               0.21  ...     False    False    False  False  False  False   \n",
       "3               0.14  ...     False    False    False  False  False  False   \n",
       "4               0.07  ...     False    False    False  False  False  False   \n",
       "...              ...  ...       ...      ...      ...    ...    ...    ...   \n",
       "2259832         0.19  ...     False    False    False  False  False  False   \n",
       "2259833         0.08  ...     False    False    False  False  False  False   \n",
       "2259834         0.27  ...     False    False    False  False  False  False   \n",
       "2259835         0.30  ...      True    False    False  False  False  False   \n",
       "2259836         0.09  ...     False    False    False  False  False  False   \n",
       "\n",
       "          1990   2000   2010   2020  \n",
       "0        False   True  False  False  \n",
       "1        False   True  False  False  \n",
       "2        False   True  False  False  \n",
       "3        False   True  False  False  \n",
       "4        False   True  False  False  \n",
       "...        ...    ...    ...    ...  \n",
       "2259832  False  False   True  False  \n",
       "2259833  False  False   True  False  \n",
       "2259834  False  False   True  False  \n",
       "2259835  False  False   True  False  \n",
       "2259836  False  False   True  False  \n",
       "\n",
       "[2254504 rows x 57 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.dropna()\n",
    "data.info()\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "067add06-b025-4b10-ac45-a0f67a389b7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>uri</th>\n",
       "      <th>popularity</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
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       "      <th>2020</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
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       "      <td>2254504.00</td>\n",
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       "      <td>2254504</td>\n",
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       "    <tr>\n",
       "      <th>unique</th>\n",
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       "      <td>2254504</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>2</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
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       "      <td>spotify:track:0UaMYEvWZi0ZqiDOoHU3YI</td>\n",
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       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>2189421</td>\n",
       "      <td>2035404</td>\n",
       "      <td>2195594</td>\n",
       "      <td>2227540</td>\n",
       "      <td>2210114</td>\n",
       "      <td>2189950</td>\n",
       "      <td>2062153</td>\n",
       "      <td>1683695</td>\n",
       "      <td>1343236</td>\n",
       "      <td>2254381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1130111.35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.26</td>\n",
       "      <td>0.22</td>\n",
       "      <td>5.26</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-9.65</td>\n",
       "      <td>0.65</td>\n",
       "      <td>0.09</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>652343.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.46</td>\n",
       "      <td>0.35</td>\n",
       "      <td>3.56</td>\n",
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       "      <td>0.18</td>\n",
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       "      <td>0.10</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-37.78</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>565215.75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.43</td>\n",
       "      <td>-11.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.04</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1130268.50</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>0.13</td>\n",
       "      <td>0.56</td>\n",
       "      <td>-8.17</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.05</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1695045.25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.00</td>\n",
       "      <td>0.42</td>\n",
       "      <td>8.00</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.69</td>\n",
       "      <td>-5.82</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.08</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2259837.00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>64.68</td>\n",
       "      <td>1.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.00</td>\n",
       "      <td>4.92</td>\n",
       "      <td>1.00</td>\n",
       "      <td>0.67</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 57 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               id                                   uri  popularity  \\\n",
       "count  2254504.00                               2254504  2254504.00   \n",
       "unique        NaN                               2254504         NaN   \n",
       "top           NaN  spotify:track:0UaMYEvWZi0ZqiDOoHU3YI         NaN   \n",
       "freq          NaN                                     1         NaN   \n",
       "mean   1130111.35                                   NaN        7.26   \n",
       "std     652343.60                                   NaN       11.46   \n",
       "min          1.00                                   NaN        0.00   \n",
       "25%     565215.75                                   NaN        0.00   \n",
       "50%    1130268.50                                   NaN        1.00   \n",
       "75%    1695045.25                                   NaN       11.00   \n",
       "max    2259837.00                                   NaN       64.68   \n",
       "\n",
       "        instrumentalness        key   liveness  danceability   loudness  \\\n",
       "count         2254504.00 2254504.00 2254504.00    2254504.00 2254504.00   \n",
       "unique               NaN        NaN        NaN           NaN        NaN   \n",
       "top                  NaN        NaN        NaN           NaN        NaN   \n",
       "freq                 NaN        NaN        NaN           NaN        NaN   \n",
       "mean                0.22       5.26       0.21          0.55      -9.65   \n",
       "std                 0.35       3.56       0.19          0.18       5.59   \n",
       "min                 0.00       0.00       0.00          0.00     -37.78   \n",
       "25%                 0.00       2.00       0.10          0.43     -11.90   \n",
       "50%                 0.00       5.00       0.13          0.56      -8.17   \n",
       "75%                 0.42       8.00       0.26          0.69      -5.82   \n",
       "max                 1.00      11.00       1.00          1.00       4.92   \n",
       "\n",
       "             mode  speechiness  ...  F# Minor  G Major  G Minor     1960  \\\n",
       "count  2254504.00   2254504.00  ...   2254504  2254504  2254504  2254504   \n",
       "unique        NaN          NaN  ...         2        2        2        2   \n",
       "top           NaN          NaN  ...     False    False    False    False   \n",
       "freq          NaN          NaN  ...   2189421  2035404  2195594  2227540   \n",
       "mean         0.65         0.09  ...       NaN      NaN      NaN      NaN   \n",
       "std          0.48         0.10  ...       NaN      NaN      NaN      NaN   \n",
       "min          0.00         0.00  ...       NaN      NaN      NaN      NaN   \n",
       "25%          0.00         0.04  ...       NaN      NaN      NaN      NaN   \n",
       "50%          1.00         0.05  ...       NaN      NaN      NaN      NaN   \n",
       "75%          1.00         0.08  ...       NaN      NaN      NaN      NaN   \n",
       "max          1.00         0.67  ...       NaN      NaN      NaN      NaN   \n",
       "\n",
       "           1970     1980     1990     2000     2010     2020  \n",
       "count   2254504  2254504  2254504  2254504  2254504  2254504  \n",
       "unique        2        2        2        2        2        2  \n",
       "top       False    False    False    False     True    False  \n",
       "freq    2210114  2189950  2062153  1683695  1343236  2254381  \n",
       "mean        NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "std         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "min         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "25%         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "50%         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "75%         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "max         NaN      NaN      NaN      NaN      NaN      NaN  \n",
       "\n",
       "[11 rows x 57 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "784ea881-0412-45d8-9c9e-84e785a48581",
   "metadata": {},
   "source": [
    "### Popülerlik ile diğer özellikler arasındaki genel ilişki\n",
    "Spotify şarkılarının popülerliği ile diğer özelliklerinin arasındaki ilişkiyi gösteren bir korelasyon matrisi oluşturalım. Matristeki değerler, her iki özelliğin birbirine olan bağımlılığını gösterir.\n",
    "\n",
    "Matristeki değerleri daha yakından incelediğimizde, popülerlik ile aşağıdaki özellikler arasında güçlü bir ilişki olduğunu görüyoruz:\n",
    "\n",
    "Yıl: Popüler şarkılar genellikle daha eski şarkılardır.\n",
    "Tempo: Popüler şarkılar genellikle hızlı tempoya sahiptir.\n",
    "Enerji: Enerjik şarkılar genellikle yüksek popülaritiye sahiptir.\n",
    "Valence: Pozitif duygular uyandıran şarkılar daha yüksek popülariteye sahiptir\n",
    "Dans edilebilirlik: Popüler şarkılar genellikle dans edilebilirdir.\n",
    "Enstrümentalite: Popüler şarkılar enstrümental ve sözsüz şarkılar değildir.\n",
    "Seslilik: Popüler şarkılar daha yoğun seslilik değerine sahiptir\n",
    "E-major, E-minor, D-minor ve D-major daha popüler key-mode değerleridir\n",
    "\n",
    "Popüler şarkılar genellikle daha 1990 ve sonrası ama 2020'ler öncesi, popüler türlerde, hızlı tempolu, yüksek enerjili ve dans edilebilirdir. Bu özellikler, şarkıların daha fazla dinlenmesine ve daha popüler olmasını sağlar.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ed172f6d-3e37-4b88-bd72-c74126dac632",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Features correlation with dependent variable'}, xlabel='Pearson Correlation'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "feature_names = ['scaled_danceability', 'scaled_energy', 'scaled_instrumentalness',\n",
    "       'liveness', 'scaled_loudness', 'scaled_speech', 'scaled_tempo', 'valence','A Minor', 'Ab Major', 'Ab Minor', 'B Major', 'B Minor', 'Bb Major', 'Bb Minor', 'C Major', 'C Minor', 'D Major', 'D Minor', 'Db Major', 'Db Minor', 'E Major', 'E Minor', 'Eb Major', 'Eb Minor', 'F Major', 'F Minor', 'F# Major', 'F# Minor', 'G Major', 'G Minor','1960', '1970', '1980', '1990', '2000', '2010', '2020' ]\n",
    "\n",
    "X, y = data[feature_names], data['scaled_popularity']\n",
    "\n",
    "# Create a list of the feature names\n",
    "features = np.array(feature_names)\n",
    "\n",
    "# Instantiate the visualizer\n",
    "visualizer = FeatureCorrelation(labels=features)\n",
    "\n",
    "plt.rcParams['figure.figsize']=(20,20)\n",
    "visualizer.fit(X, y)     # Fit the data to the visualizer\n",
    "visualizer.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7692490-5670-49db-990f-a3900c158d7c",
   "metadata": {},
   "source": [
    "### Yıl dağılımı\n",
    "Veri setindeki şarkıların genel olarak yıl dağılımı 2000'ler ve 2010'lardır."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "58e0960e-8d19-41d8-80bb-f5c67b3b0f3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='count', ylabel='decade'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(20 ,6)})\n",
    "sns.countplot(data['decade'])\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "add740d4-8ebb-42ca-bdca-d9bbcaa83ffa",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "081ff080-6f8d-4582-ab76-3b97cf25c89a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sound_features = ['scaled_danceability', 'scaled_energy', 'scaled_instrumentalness',\n",
    "                  'liveness', 'scaled_loudness', 'scaled_speech', 'scaled_tempo', 'valence', 'scaled_popularity']\n",
    "\n",
    "# Yıllara göre özelliklerin ortalamasını alma\n",
    "average_features = data.groupby('year')[sound_features].mean().reset_index()\n",
    "\n",
    "# Her bir özelliği ayrı çizgiyle çizme\n",
    "plt.figure(figsize=(20, 14))\n",
    "for feature in sound_features:\n",
    "    plt.plot(average_features['year'], average_features[feature], label=feature)\n",
    "\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Average Value')\n",
    "plt.legend()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "846d4b47-a945-4c4f-ba3e-f4ac4f051fa6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "numeric_columns = data.select_dtypes(include=['int', 'float']).columns\n",
    "\n",
    "sound_features = ['scaled_danceability', 'scaled_energy', 'scaled_instrumentalness',\n",
    "                  'liveness', 'scaled_loudness', 'scaled_speech', 'scaled_tempo', 'valence', 'scaled_popularity', 'year']\n",
    "\n",
    "# Belirli özellikleri içeren sütunları seçerek korelasyon matrisini oluştur\n",
    "correlation_matrix = data[sound_features].corr()\n",
    "\n",
    "# Korelasyon matrisini görselleştir\n",
    "plt.figure(figsize=(20, 6))\n",
    "sns.heatmap(correlation_matrix, vmin=-1, vmax=1, annot=True, cmap=\"Greens\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "422a7f3b-15c7-460e-b40f-7a263d520ca1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}