Shafa_Anindya_Nur_Allifya_185150400111003.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/nanangyudi/2020pds_b/blob/main/Shafa_Anindya_Nur_Allifya_185150400111003.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c_aM5YmzbV7F"
      },
      "source": [
        "# Nama: Shafa Anindya Nur Allifya\n",
        "# NIM: 185150400111003\n",
        "# Kelas: PDS B"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "13aGduDA62dM"
      },
      "source": [
        "# **Analisis Top 2000 Spotify Songs**\n",
        "Analisis musik yang termasuk ke dalam Top 2000 *Spotify*"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "B4YuFRtbapSa"
      },
      "source": [
        "# **Deskripsi Tujuan Bisnis**\n",
        "Spotify merupakan salah satu platform favorit bagi masyarakat terutama kalangan remaja untuk *streaming* musik digital, podcast, ataupun video. Layanan Spotify memberikan akses pada penggunanya ke jutaan lagu dan konten lain dari artis di seluruh dunia.\n",
        "\n",
        "Analisis ini akan memberitahu mengenai lagu-lagu seperti apakah yang populer dan termasuk ke dalam top 2000 Spotify Songs di beberapa negara. Analisis ini diharapkan akan mampu menginspirasi dan juga membantu pihak-pihak yang membutuhkan seperti produser, artis, dan juga para konten kreator lainnya dalam pembuatan karya selanjutnya."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wl6Z-Dg_a2Gp"
      },
      "source": [
        "# **Analisa Pendekatan yang Dilakukan**\n",
        "\n",
        "Dalam Analisa ini, akan diketahui mengenai apa saja karakteristik lagu yang memungkinkan masuk ke dalam Top 2000 Spotify jika dilihat dari detail dan kualitas lagu. Analisa akan dilakukan dengan menggambarkan data dengan grafik.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n0VN4gAJa9JZ"
      },
      "source": [
        "# **Pengumpulan Data**\n",
        "Dalam proyek ini pengumpulan data dilakukan dengan mencari sumber data / dataset yang sudah ada atau diunggah dalam website Kaggle.com dengan link https://www.kaggle.com/iamsumat/spotify-top-2000s-mega-dataset."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CGGnL3a4bJNj"
      },
      "source": [
        "# **Pemahaman Terhadap Data yang Telah Dikumpulkan**\n",
        "Dataset ini terdiri atas kumpulan lagu / track yang termasuk ke dalam top 2000 tracks di Spotify yang dirilis pada tahun 1956 sampai tahun 2019. Dataset ini ditampilkan dalam 15 kolom yang menjelaskan setiap track dan kualitasnya, yakni:\n",
        "\n",
        "\n",
        "1.   ID: Index\n",
        "2.   Title: Name of the Track\n",
        "3.   Artist: Name of the Artist\n",
        "4.   Top Genre: Genre of the Track\n",
        "5.   Year: Release Year of the Track\n",
        "6.   BPM (Beats per Minute): The Tempo of the Song\n",
        "7.   Energy: The energy of a song - the higher the value, the more energetic the song\n",
        "8.   Danceability: The higher the value, the easier it is to dance to this song.\n",
        "9.   dB (Loudness): The higher the value, the louder the song.\n",
        "10.  Liveness\n",
        "11.  Valence: The higher the value, the more positive mood for the song.\n",
        "12.  Length (Duration): The duration of the song.\n",
        "13.  Acoustic: The higher the value the more acoustic the song is.\n",
        "14.  Speechiness: The higher the value the more spoken words the song contains\n",
        "15.  Popularity: The higher the value the more popular the song is.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "E6M37_J1bQXB"
      },
      "source": [
        "# **Persiapan Data**\n",
        "\n",
        "Melakukan load dataset dari file Spotify-2000.csv\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Ttt1hAEjJoiJ"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly.graph_objects as go\n",
        "\n",
        "from termcolor import colored\n",
        "\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "from pandas.plotting import scatter_matrix\n",
        "from matplotlib import pyplot\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.model_selection import cross_val_score\n",
        "from sklearn.model_selection import cross_val_predict\n",
        "from sklearn.model_selection import StratifiedKFold\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.svm import SVC"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 674
        },
        "id": "oluhVoqiVEpG",
        "outputId": "ea7533ae-b1ae-4336-9e9b-65116b93e9f7"
      },
      "source": [
        "dataLagu = pd.read_csv(\"https://raw.githubusercontent.com/Shafaani3/data/main/Spotify-2000.csv\")\n",
        "dataLagu.head(1994)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Index</th>\n",
              "      <th>Title</th>\n",
              "      <th>Artist</th>\n",
              "      <th>Top Genre</th>\n",
              "      <th>Year</th>\n",
              "      <th>Beats Per Minute (BPM)</th>\n",
              "      <th>Energy</th>\n",
              "      <th>Danceability</th>\n",
              "      <th>Loudness (dB)</th>\n",
              "      <th>Liveness</th>\n",
              "      <th>Valence</th>\n",
              "      <th>Length (Duration)</th>\n",
              "      <th>Acousticness</th>\n",
              "      <th>Speechiness</th>\n",
              "      <th>Popularity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>Sunrise</td>\n",
              "      <td>Norah Jones</td>\n",
              "      <td>adult standards</td>\n",
              "      <td>2004</td>\n",
              "      <td>157</td>\n",
              "      <td>30</td>\n",
              "      <td>53</td>\n",
              "      <td>-14</td>\n",
              "      <td>11</td>\n",
              "      <td>68</td>\n",
              "      <td>201</td>\n",
              "      <td>94</td>\n",
              "      <td>3</td>\n",
              "      <td>71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>Black Night</td>\n",
              "      <td>Deep Purple</td>\n",
              "      <td>album rock</td>\n",
              "      <td>2000</td>\n",
              "      <td>135</td>\n",
              "      <td>79</td>\n",
              "      <td>50</td>\n",
              "      <td>-11</td>\n",
              "      <td>17</td>\n",
              "      <td>81</td>\n",
              "      <td>207</td>\n",
              "      <td>17</td>\n",
              "      <td>7</td>\n",
              "      <td>39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>Clint Eastwood</td>\n",
              "      <td>Gorillaz</td>\n",
              "      <td>alternative hip hop</td>\n",
              "      <td>2001</td>\n",
              "      <td>168</td>\n",
              "      <td>69</td>\n",
              "      <td>66</td>\n",
              "      <td>-9</td>\n",
              "      <td>7</td>\n",
              "      <td>52</td>\n",
              "      <td>341</td>\n",
              "      <td>2</td>\n",
              "      <td>17</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>The Pretender</td>\n",
              "      <td>Foo Fighters</td>\n",
              "      <td>alternative metal</td>\n",
              "      <td>2007</td>\n",
              "      <td>173</td>\n",
              "      <td>96</td>\n",
              "      <td>43</td>\n",
              "      <td>-4</td>\n",
              "      <td>3</td>\n",
              "      <td>37</td>\n",
              "      <td>269</td>\n",
              "      <td>0</td>\n",
              "      <td>4</td>\n",
              "      <td>76</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>Waitin' On A Sunny Day</td>\n",
              "      <td>Bruce Springsteen</td>\n",
              "      <td>classic rock</td>\n",
              "      <td>2002</td>\n",
              "      <td>106</td>\n",
              "      <td>82</td>\n",
              "      <td>58</td>\n",
              "      <td>-5</td>\n",
              "      <td>10</td>\n",
              "      <td>87</td>\n",
              "      <td>256</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>59</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1989</th>\n",
              "      <td>1990</td>\n",
              "      <td>Heartbreak Hotel</td>\n",
              "      <td>Elvis Presley</td>\n",
              "      <td>adult standards</td>\n",
              "      <td>1958</td>\n",
              "      <td>94</td>\n",
              "      <td>21</td>\n",
              "      <td>70</td>\n",
              "      <td>-12</td>\n",
              "      <td>11</td>\n",
              "      <td>72</td>\n",
              "      <td>128</td>\n",
              "      <td>84</td>\n",
              "      <td>7</td>\n",
              "      <td>63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1990</th>\n",
              "      <td>1991</td>\n",
              "      <td>Hound Dog</td>\n",
              "      <td>Elvis Presley</td>\n",
              "      <td>adult standards</td>\n",
              "      <td>1958</td>\n",
              "      <td>175</td>\n",
              "      <td>76</td>\n",
              "      <td>36</td>\n",
              "      <td>-8</td>\n",
              "      <td>76</td>\n",
              "      <td>95</td>\n",
              "      <td>136</td>\n",
              "      <td>73</td>\n",
              "      <td>6</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1991</th>\n",
              "      <td>1992</td>\n",
              "      <td>Johnny B. Goode</td>\n",
              "      <td>Chuck Berry</td>\n",
              "      <td>blues rock</td>\n",
              "      <td>1959</td>\n",
              "      <td>168</td>\n",
              "      <td>80</td>\n",
              "      <td>53</td>\n",
              "      <td>-9</td>\n",
              "      <td>31</td>\n",
              "      <td>97</td>\n",
              "      <td>162</td>\n",
              "      <td>74</td>\n",
              "      <td>7</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1992</th>\n",
              "      <td>1993</td>\n",
              "      <td>Take Five</td>\n",
              "      <td>The Dave Brubeck Quartet</td>\n",
              "      <td>bebop</td>\n",
              "      <td>1959</td>\n",
              "      <td>174</td>\n",
              "      <td>26</td>\n",
              "      <td>45</td>\n",
              "      <td>-13</td>\n",
              "      <td>7</td>\n",
              "      <td>60</td>\n",
              "      <td>324</td>\n",
              "      <td>54</td>\n",
              "      <td>4</td>\n",
              "      <td>65</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1993</th>\n",
              "      <td>1994</td>\n",
              "      <td>Blueberry Hill</td>\n",
              "      <td>Fats Domino</td>\n",
              "      <td>adult standards</td>\n",
              "      <td>1959</td>\n",
              "      <td>133</td>\n",
              "      <td>50</td>\n",
              "      <td>49</td>\n",
              "      <td>-10</td>\n",
              "      <td>16</td>\n",
              "      <td>83</td>\n",
              "      <td>148</td>\n",
              "      <td>74</td>\n",
              "      <td>3</td>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1994 rows × 15 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "      Index                   Title  ... Speechiness Popularity\n",
              "0         1                 Sunrise  ...           3         71\n",
              "1         2             Black Night  ...           7         39\n",
              "2         3          Clint Eastwood  ...          17         69\n",
              "3         4           The Pretender  ...           4         76\n",
              "4         5  Waitin' On A Sunny Day  ...           3         59\n",
              "...     ...                     ...  ...         ...        ...\n",
              "1989   1990        Heartbreak Hotel  ...           7         63\n",
              "1990   1991               Hound Dog  ...           6         69\n",
              "1991   1992         Johnny B. Goode  ...           7         74\n",
              "1992   1993               Take Five  ...           4         65\n",
              "1993   1994          Blueberry Hill  ...           3         56\n",
              "\n",
              "[1994 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jDNvf0ldgXmE"
      },
      "source": [
        "Untuk menampilkan data label baris dan kolom:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aql3vvubg0LM",
        "outputId": "c12405ca-ebc4-4a02-d886-d64582220069"
      },
      "source": [
        "dataLagu.axes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[RangeIndex(start=0, stop=1994, step=1),\n",
              " Index(['Index', 'Title', 'Artist', 'Top Genre', 'Year',\n",
              "        'Beats Per Minute (BPM)', 'Energy', 'Danceability', 'Loudness (dB)',\n",
              "        'Liveness', 'Valence', 'Length (Duration)', 'Acousticness',\n",
              "        'Speechiness', 'Popularity'],\n",
              "       dtype='object')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r9scMtUkg-W_"
      },
      "source": [
        "Untuk menampilkan gambaran data terutama info apakah ada data kosong / null atau tidak:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uesZdvaZb1-l",
        "outputId": "5aa934db-c03f-4762-d25b-3f022fed2d88"
      },
      "source": [
        "dataLagu.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1994 entries, 0 to 1993\n",
            "Data columns (total 15 columns):\n",
            " #   Column                  Non-Null Count  Dtype \n",
            "---  ------                  --------------  ----- \n",
            " 0   Index                   1994 non-null   int64 \n",
            " 1   Title                   1994 non-null   object\n",
            " 2   Artist                  1994 non-null   object\n",
            " 3   Top Genre               1994 non-null   object\n",
            " 4   Year                    1994 non-null   int64 \n",
            " 5   Beats Per Minute (BPM)  1994 non-null   int64 \n",
            " 6   Energy                  1994 non-null   int64 \n",
            " 7   Danceability            1994 non-null   int64 \n",
            " 8   Loudness (dB)           1994 non-null   int64 \n",
            " 9   Liveness                1994 non-null   int64 \n",
            " 10  Valence                 1994 non-null   int64 \n",
            " 11  Length (Duration)       1994 non-null   object\n",
            " 12  Acousticness            1994 non-null   int64 \n",
            " 13  Speechiness             1994 non-null   int64 \n",
            " 14  Popularity              1994 non-null   int64 \n",
            "dtypes: int64(11), object(4)\n",
            "memory usage: 233.8+ KB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nGqj7QT73_uQ",
        "outputId": "a0a72302-c476-4288-b67a-1f9e7a482aec"
      },
      "source": [
        "dataLagu.empty"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "v55aVvtvibCX"
      },
      "source": [
        "Untuk menampilkan daftar tipe data setiap kolom:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YqRUpaDkdKPQ",
        "outputId": "ffe7ff9c-7ca3-4c05-9ba7-494a8b52b786"
      },
      "source": [
        "dataLagu.dtypes"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index                      int64\n",
              "Title                     object\n",
              "Artist                    object\n",
              "Top Genre                 object\n",
              "Year                       int64\n",
              "Beats Per Minute (BPM)     int64\n",
              "Energy                     int64\n",
              "Danceability               int64\n",
              "Loudness (dB)              int64\n",
              "Liveness                   int64\n",
              "Valence                    int64\n",
              "Length (Duration)         object\n",
              "Acousticness               int64\n",
              "Speechiness                int64\n",
              "Popularity                 int64\n",
              "dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N90LBLYtigt0"
      },
      "source": [
        "Untuk menampilkan ukuran data:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Z4IWJY0dXJH",
        "outputId": "b19b645b-ddf5-4029-ebd0-cf29c4dd0ab0"
      },
      "source": [
        "dataLagu.size"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "29910"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4NNWQ7RyvIcs"
      },
      "source": [
        "Untuk menampilkan jumlah baris dan kolom:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J4rA2b24vFHv",
        "outputId": "aebdc4e1-0235-414a-d11f-16d48d5faccc"
      },
      "source": [
        "dataLagu.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1994, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IXLZLnMKijfk"
      },
      "source": [
        "Untuk menampilkan ringkasan singkat mengenai nilai-nilai pada kolom dalam bentuk statistika tentang data:\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        },
        "id": "YWpYucwrdZsS",
        "outputId": "d71c03e6-b77d-44e3-ecb0-8320f55dcac1"
      },
      "source": [
        "dataLagu.describe()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Index</th>\n",
              "      <th>Year</th>\n",
              "      <th>Beats Per Minute (BPM)</th>\n",
              "      <th>Energy</th>\n",
              "      <th>Danceability</th>\n",
              "      <th>Loudness (dB)</th>\n",
              "      <th>Liveness</th>\n",
              "      <th>Valence</th>\n",
              "      <th>Acousticness</th>\n",
              "      <th>Speechiness</th>\n",
              "      <th>Popularity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.000000</td>\n",
              "      <td>1994.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>997.500000</td>\n",
              "      <td>1992.992979</td>\n",
              "      <td>120.215647</td>\n",
              "      <td>59.679539</td>\n",
              "      <td>53.238215</td>\n",
              "      <td>-9.008526</td>\n",
              "      <td>19.012036</td>\n",
              "      <td>49.408726</td>\n",
              "      <td>28.858074</td>\n",
              "      <td>4.994985</td>\n",
              "      <td>59.52658</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>575.762538</td>\n",
              "      <td>16.116048</td>\n",
              "      <td>28.028096</td>\n",
              "      <td>22.154322</td>\n",
              "      <td>15.351507</td>\n",
              "      <td>3.647876</td>\n",
              "      <td>16.727378</td>\n",
              "      <td>24.858212</td>\n",
              "      <td>29.011986</td>\n",
              "      <td>4.401566</td>\n",
              "      <td>14.35160</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>1956.000000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>-27.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>11.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>499.250000</td>\n",
              "      <td>1979.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>42.000000</td>\n",
              "      <td>43.000000</td>\n",
              "      <td>-11.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>49.25000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>997.500000</td>\n",
              "      <td>1993.000000</td>\n",
              "      <td>119.000000</td>\n",
              "      <td>61.000000</td>\n",
              "      <td>53.000000</td>\n",
              "      <td>-8.000000</td>\n",
              "      <td>12.000000</td>\n",
              "      <td>47.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>4.000000</td>\n",
              "      <td>62.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>1495.750000</td>\n",
              "      <td>2007.000000</td>\n",
              "      <td>136.000000</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>64.000000</td>\n",
              "      <td>-6.000000</td>\n",
              "      <td>23.000000</td>\n",
              "      <td>69.750000</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>71.00000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>1994.000000</td>\n",
              "      <td>2019.000000</td>\n",
              "      <td>206.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>96.000000</td>\n",
              "      <td>-2.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>99.000000</td>\n",
              "      <td>55.000000</td>\n",
              "      <td>100.00000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "             Index         Year  ...  Speechiness  Popularity\n",
              "count  1994.000000  1994.000000  ...  1994.000000  1994.00000\n",
              "mean    997.500000  1992.992979  ...     4.994985    59.52658\n",
              "std     575.762538    16.116048  ...     4.401566    14.35160\n",
              "min       1.000000  1956.000000  ...     2.000000    11.00000\n",
              "25%     499.250000  1979.000000  ...     3.000000    49.25000\n",
              "50%     997.500000  1993.000000  ...     4.000000    62.00000\n",
              "75%    1495.750000  2007.000000  ...     5.000000    71.00000\n",
              "max    1994.000000  2019.000000  ...    55.000000   100.00000\n",
              "\n",
              "[8 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ayiccqL-s3g_"
      },
      "source": [
        "# **Eksplorasi Data**\n",
        "\n",
        "> **Mengetahui artis mana saja yang berada dalam Top 10 Popularity**\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D2cL4Xz2lgzH",
        "outputId": "436c290b-7c35-4e9a-9c84-54859dde1550"
      },
      "source": [
        "ArtistTop = dataLagu[dataLagu['Popularity'].isin([90, 89, 88, 87, 86, 85, 84, 83, 82, 81])] \n",
        "ArtistTop.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(66, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 179
        },
        "id": "NKmFwWlvltdi",
        "outputId": "009b0ad2-9a48-4a67-ef2f-7592451080c3"
      },
      "source": [
        "ArtistTop[ArtistTop['Popularity'] == ArtistTop['Popularity'].max()]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Index</th>\n",
              "      <th>Title</th>\n",
              "      <th>Artist</th>\n",
              "      <th>Top Genre</th>\n",
              "      <th>Year</th>\n",
              "      <th>Beats Per Minute (BPM)</th>\n",
              "      <th>Energy</th>\n",
              "      <th>Danceability</th>\n",
              "      <th>Loudness (dB)</th>\n",
              "      <th>Liveness</th>\n",
              "      <th>Valence</th>\n",
              "      <th>Length (Duration)</th>\n",
              "      <th>Acousticness</th>\n",
              "      <th>Speechiness</th>\n",
              "      <th>Popularity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>688</th>\n",
              "      <td>689</td>\n",
              "      <td>Believer</td>\n",
              "      <td>Imagine Dragons</td>\n",
              "      <td>modern rock</td>\n",
              "      <td>2017</td>\n",
              "      <td>125</td>\n",
              "      <td>78</td>\n",
              "      <td>78</td>\n",
              "      <td>-4</td>\n",
              "      <td>8</td>\n",
              "      <td>67</td>\n",
              "      <td>204</td>\n",
              "      <td>6</td>\n",
              "      <td>13</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>726</th>\n",
              "      <td>727</td>\n",
              "      <td>Shallow</td>\n",
              "      <td>Lady Gaga</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>96</td>\n",
              "      <td>39</td>\n",
              "      <td>57</td>\n",
              "      <td>-6</td>\n",
              "      <td>23</td>\n",
              "      <td>32</td>\n",
              "      <td>216</td>\n",
              "      <td>37</td>\n",
              "      <td>3</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Index     Title           Artist  ... Acousticness  Speechiness  Popularity\n",
              "688    689  Believer  Imagine Dragons  ...            6           13          88\n",
              "726    727   Shallow        Lady Gaga  ...           37            3          88\n",
              "\n",
              "[2 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pa1F2vYbl8ls",
        "outputId": "6998ce7c-3734-4b7f-e379-90c4acf8c974"
      },
      "source": [
        "ArtistTop.value_counts(\"Artist\").head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Artist\n",
              "Imagine Dragons          5\n",
              "Ed Sheeran               5\n",
              "Coldplay                 4\n",
              "AC/DC                    3\n",
              "Lady Gaga                2\n",
              "Linkin Park              2\n",
              "Red Hot Chili Peppers    2\n",
              "Twenty One Pilots        2\n",
              "Bon Jovi                 1\n",
              "Elton John               1\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 551
        },
        "id": "9DS2m_zYyLV_",
        "outputId": "68d6be65-8899-4cda-d573-3b7c64d19770"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Artist',  data=ArtistTop, order = ['Imagine Dragons', 'Ed Sheeran', 'Coldplay', 'AC/DC', 'Red Hot Chili Peppers', 'Linkin Park', 'Lady Gaga', 'Twenty One Pilots', 'Bon Jovi', 'Elton John'] );\r\n",
        "plt.title(\"Artis yang lagunya paling sering popular\", fontsize = 25)\r\n",
        "plt.xlabel(\"Nama Artis\", fontsize = 15)\r\n",
        "plt.ylabel(\"Total\", fontsize = 15)\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AB7Gi6Lspv1A"
      },
      "source": [
        "\n",
        "\n",
        "> **Mengetahui 10 genre yang paling diminati**\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "svwS1aKMp2AI",
        "outputId": "facb161c-7127-4508-8c75-4d25fe6382ce"
      },
      "source": [
        "GenreFav = dataLagu[dataLagu['Popularity'].isin([90,89,88,87,86,85,84,83,82,81])] \n",
        "GenreFav.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(66, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 179
        },
        "id": "P3_CfM3uqMOW",
        "outputId": "6a287a24-2845-487b-fb1e-fc3a2983a100"
      },
      "source": [
        "GenreFav[GenreFav['Popularity'] == GenreFav['Popularity'].max()]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Index</th>\n",
              "      <th>Title</th>\n",
              "      <th>Artist</th>\n",
              "      <th>Top Genre</th>\n",
              "      <th>Year</th>\n",
              "      <th>Beats Per Minute (BPM)</th>\n",
              "      <th>Energy</th>\n",
              "      <th>Danceability</th>\n",
              "      <th>Loudness (dB)</th>\n",
              "      <th>Liveness</th>\n",
              "      <th>Valence</th>\n",
              "      <th>Length (Duration)</th>\n",
              "      <th>Acousticness</th>\n",
              "      <th>Speechiness</th>\n",
              "      <th>Popularity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>688</th>\n",
              "      <td>689</td>\n",
              "      <td>Believer</td>\n",
              "      <td>Imagine Dragons</td>\n",
              "      <td>modern rock</td>\n",
              "      <td>2017</td>\n",
              "      <td>125</td>\n",
              "      <td>78</td>\n",
              "      <td>78</td>\n",
              "      <td>-4</td>\n",
              "      <td>8</td>\n",
              "      <td>67</td>\n",
              "      <td>204</td>\n",
              "      <td>6</td>\n",
              "      <td>13</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>726</th>\n",
              "      <td>727</td>\n",
              "      <td>Shallow</td>\n",
              "      <td>Lady Gaga</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>96</td>\n",
              "      <td>39</td>\n",
              "      <td>57</td>\n",
              "      <td>-6</td>\n",
              "      <td>23</td>\n",
              "      <td>32</td>\n",
              "      <td>216</td>\n",
              "      <td>37</td>\n",
              "      <td>3</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "     Index     Title           Artist  ... Acousticness  Speechiness  Popularity\n",
              "688    689  Believer  Imagine Dragons  ...            6           13          88\n",
              "726    727   Shallow        Lady Gaga  ...           37            3          88\n",
              "\n",
              "[2 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "07lfLzGTqYES",
        "outputId": "1d0ab366-b266-4298-8620-23ee70974b6c"
      },
      "source": [
        "GenreFav.value_counts(\"Top Genre\").head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Top Genre\n",
              "dance pop            10\n",
              "pop                   8\n",
              "album rock            8\n",
              "modern rock           7\n",
              "permanent wave        4\n",
              "alternative rock      4\n",
              "alternative metal     2\n",
              "canadian pop          2\n",
              "dance rock            2\n",
              "neo mellow            2\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 549
        },
        "id": "QP5L5DXJqd7x",
        "outputId": "0b34fef9-71e8-4681-9c6a-d552cccae08c"
      },
      "source": [
        "plt.figure(figsize = (25,10));\n",
        "t = {'fontsize': 15}\n",
        "sns.countplot(x='Top Genre',  data=GenreFav, order = ['dance pop', 'pop', 'album rock','modern rock','permanent wave', 'alternative rock', 'alternative metal', 'canadian pop', 'dance rock', 'neo mellow'] );\n",
        "plt.title(\"Top Genre yang paling diminati\", fontsize = 25)\n",
        "plt.xlabel(\"Tipe Genre\", fontsize = 15)\n",
        "plt.ylabel(\"Total\", fontsize = 15)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "F-gL4qd6xAG3"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Mengetahui lagu dengan popularitas tertinggi:**\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "39JNvioZwiIR",
        "outputId": "7657e5ec-27ab-4d4e-fa2a-4cd6469a93a7"
      },
      "source": [
        "dataLagu.sort_values([\"Popularity\"], ascending=False, inplace=True)\r\n",
        "dataLagu.reset_index(inplace=True, drop=True)\r\n",
        "\r\n",
        "print(dataLagu)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "      Index                            Title  ... Speechiness Popularity\n",
            "0       794                     Dance Monkey  ...           9        100\n",
            "1       788                         Memories  ...           5         98\n",
            "2       787                          bad guy  ...          38         95\n",
            "3      1642  All I Want for Christmas Is You  ...           4         95\n",
            "4       689                         Believer  ...          13         88\n",
            "...     ...                              ...  ...         ...        ...\n",
            "1989    606                  Het Dorp - Live  ...           8         15\n",
            "1990    412                 Peter Gunn Theme  ...           3         14\n",
            "1991    625              Three Days In A Row  ...           3         13\n",
            "1992    774                 Hou Vol Hou Vast  ...           2         12\n",
            "1993   1794                        Sacrifice  ...           5         11\n",
            "\n",
            "[1994 rows x 15 columns]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XXbJ9juJlg23",
        "outputId": "7c194e9b-a18d-4d1c-94de-5e2f797f52e2"
      },
      "source": [
        "LaguFavo = dataLagu[dataLagu['Title'].isin(['Dance Monkey', 'Memories', 'bad guy', 'All I Want For Christmas Is You', 'Believer'])] \r\n",
        "LaguFavo.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(5, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "i4mFo7x6vDZs",
        "outputId": "9edd8a76-7d1a-4e7a-d139-b779a174f18f"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Title', data= LaguFavo, order = ['Dance Monkey', 'Memories', 'bad guy', 'All I Want For Christmas Is You', 'Believer']);\r\n",
        "plt.title(\"Top 5 Lagu dengan popularitas tertinggi\", fontsize = 25)\r\n",
        "plt.xlabel(\"Lagu\", fontsize = 15)\r\n",
        "plt.ylabel(\"Popularitas\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MjccZfARyZ94"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Mengetahui jumlah lagu yang masuk dalam daftar TOP 2000 yang dirilis setiap tahunnya:**\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4B_k0jtTygsV",
        "outputId": "1bf66e37-b715-4a2e-fcd2-685aa4715a51"
      },
      "source": [
        "dataLagu.value_counts(\"Year\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Year\n",
              "2008    54\n",
              "2018    52\n",
              "1991    52\n",
              "1977    51\n",
              "2002    47\n",
              "        ..\n",
              "1962     3\n",
              "1959     3\n",
              "1961     1\n",
              "1960     1\n",
              "1956     1\n",
              "Length: 63, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 548
        },
        "id": "crVOskEazOBH",
        "outputId": "55ea7cee-b7f3-4fbf-fb11-ab575a5a8fa2"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Year', data= dataLagu);\r\n",
        "plt.title(\"Jumlah Lagu TOP yang Dirilis Tiap Tahunnya\", fontsize = 25)\r\n",
        "plt.xlabel(\"Tahun\", fontsize = 15)\r\n",
        "plt.ylabel(\"Jumlah Lagu\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N-miYtJwi7wG"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Mengetahui Jenis Tempo Lagu yang Paling Disukai**\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XsdijJhTjICd",
        "outputId": "c92104d5-f271-4cd0-d165-6d3a1758be36"
      },
      "source": [
        "dataLagu.value_counts(\"Beats Per Minute (BPM)\").head(5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Beats Per Minute (BPM)\n",
              "125    40\n",
              "127    39\n",
              "123    38\n",
              "120    38\n",
              "117    36\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JLAicBugkynr",
        "outputId": "d4198554-51d3-4d06-f8c2-a5387534d334"
      },
      "source": [
        "JenisBPM = dataLagu[dataLagu['Beats Per Minute (BPM)'].isin([125,127,123,120,117])] \r\n",
        "JenisBPM.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(191, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 549
        },
        "id": "kF0Ife6zjSmJ",
        "outputId": "307c7231-6e30-498a-b0f7-0a9a4629ccf5"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Beats Per Minute (BPM)', data= JenisBPM);\r\n",
        "plt.title(\"Tempo Lagu yang Paling Disukai (BPM)\", fontsize = 25)\r\n",
        "plt.xlabel(\"BPM\", fontsize = 15)\r\n",
        "plt.ylabel(\"Jumlah Lagu yang Masuk Top 2000\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BbAf6kQ4oG5Z"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Mengetahui tingkat kenyaringan lagu yang paling disukai:**\r\n",
        "\r\n",
        "\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WdtEQt3Kowv3",
        "outputId": "306faf9e-2dee-4e43-ca2e-90d555392012"
      },
      "source": [
        "dataLagu.value_counts(\"Loudness (dB)\").head(5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Loudness (dB)\n",
              "-7     256\n",
              "-6     225\n",
              "-9     220\n",
              "-8     199\n",
              "-10    179\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TYWH-JBXo1Yt",
        "outputId": "23a2b992-ead4-42a9-fbf8-a7499a3b4c69"
      },
      "source": [
        "Nyaringnya = dataLagu[dataLagu['Loudness (dB)'].isin([-7,-6,-9,-8,-10])] \r\n",
        "Nyaringnya.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1079, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        },
        "id": "I8ZwlhoipDq2",
        "outputId": "f66ce857-f757-4a67-d7df-6a2477810c0c"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Loudness (dB)', data= Nyaringnya);\r\n",
        "plt.title(\"Kenyaringan Lagu yang Paling Disukai (dB)\", fontsize = 25)\r\n",
        "plt.xlabel(\"dB\", fontsize = 15)\r\n",
        "plt.ylabel(\"Jumlah Lagu yang Masuk Top 2000\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MgpdR9HYqDz1"
      },
      "source": [
        "\r\n",
        "> **Mengetahui jenis lagu yang paling disukai (Energetic or Not)**\r\n",
        "\r\n",
        "\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "494AJWMlqPAF",
        "outputId": "684361d4-c7b5-46c5-86f8-25d2407fdb91"
      },
      "source": [
        "dataLagu.value_counts(\"Energy\").head(5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Energy\n",
              "76    40\n",
              "66    39\n",
              "72    37\n",
              "80    35\n",
              "59    35\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "u-ezmL3CqT9F",
        "outputId": "582ba643-8353-4539-db21-ddf9b6823df9"
      },
      "source": [
        "Enrgy = dataLagu[dataLagu['Energy'].isin([76,66,72,80,59])] \r\n",
        "Enrgy.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(186, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 549
        },
        "id": "MN-V2LayqpPC",
        "outputId": "17422c36-30b3-4058-9e42-a01bd5774f29"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Energy', data= Enrgy);\r\n",
        "plt.title(\"Tingkat Energetic Lagu yang Paling Disukai\", fontsize = 25)\r\n",
        "plt.xlabel(\"Tingkat Energetic\", fontsize = 15)\r\n",
        "plt.ylabel(\"Jumlah Lagu yang Masuk Top 2000\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "udSGOHJErnxD"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Mengetahui jenis lagu yang paling disukai (Membawa mood positif atau sebaliknya)**\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cq7hJEDFrzWY",
        "outputId": "b1c24795-d5ba-4525-f405-533696ecf2b5"
      },
      "source": [
        "dataLagu.value_counts(\"Valence\").head(5)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Valence\n",
              "30    35\n",
              "33    34\n",
              "37    32\n",
              "49    32\n",
              "42    31\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 53
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KcHtdd3pr-tC",
        "outputId": "bd0e9f7b-5642-4532-dbd6-ea0f4578b802"
      },
      "source": [
        "Mood = dataLagu[dataLagu['Valence'].isin([30,33,37,49,42])] \r\n",
        "Mood.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(164, 15)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 656
        },
        "id": "5HiOdy0nsOdf",
        "outputId": "ecdc3747-b2d2-4018-b13b-1e51b642d43f"
      },
      "source": [
        "plt.figure(figsize = (25,10));\r\n",
        "t = {'fontsize': 15}\r\n",
        "sns.countplot(x='Valence', data= Mood);\r\n",
        "plt.title(\"Tingkat Mood Lagu yang Paling Disukai\", fontsize = 25)\r\n",
        "plt.xlabel(\"Tingkat Mood\", fontsize = 15)\r\n",
        "plt.ylabel(\"Jumlah Lagu yang Masuk Top 2000\", fontsize = 15)\r\n",
        "\r\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1800x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S7UYLQItbbmD"
      },
      "source": [
        "# **Pemodelan Data**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jstViTnNp1Wv"
      },
      "source": [
        "\r\n",
        "\r\n",
        "> **Plotingan semua data bertipe numerik dengan kolom Popularity**\r\n",
        "\r\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9SiLQz35wbln"
      },
      "source": [
        "numerical_values=[\"BPM (Beats per Minute)\", \"Energy\", \"Danceability\", \"dB (Loudness)\", \"Liveness\", \"Valence\", \"Length (Duration)\", \"Acoustic\", \"Speechiness\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4ATYdU4XweOj"
      },
      "source": [
        "from sklearn import preprocessing\r\n",
        "x = dataLagu.drop([\"Index\", \"Title\", \"Artist\", \"Top Genre\", \"Year\"], axis=1) #returns a numpy array\r\n",
        "dataPlot = pd.DataFrame(x)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NhuDd2FfwiCi"
      },
      "source": [
        "dataPlot.columns = [\"BPM (Beats per Minute)\", \"Energy\", \"Danceability\", \"dB (Loudness)\", \"Liveness\", \"Valence\", \"Length (Duration)\", \"Acoustic\", \"Speechiness\", \"Popularity\"]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "dFUozRJFwll4",
        "outputId": "fcaf10c7-b85f-4213-8bf1-27fdc8dd49dc"
      },
      "source": [
        "for val in (\"BPM (Beats per Minute)\", \"Energy\", \"Danceability\", \"dB (Loudness)\", \"Liveness\", \"Valence\", \"Length (Duration)\", \"Acoustic\", \"Speechiness\"):\r\n",
        "    dataPlot.plot.scatter(x=\"Popularity\", y=val)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9so18YzAwDLpRIKIAgH8BcAp/jzEWBRBN/r2ZiD4GMAWAxQ1gjK0AsALQPIVsj2+oVhq5lIzINDyVSRhkn00iuLH1ACYL2D6yRFhxxSlC9hHQb6zsiqncDJcZ4YCEZeecgF++tN0iN2F3nnZwM7ZeDW02wMf7+vY9Wd2vExZMq0R5ScixBgPop9DqvSM3EAEjI0FHqrLPNsoNhkLm4mwA2xljqeUSEY0lIjn59yQAkwF8MtgDG+oer7mSjMg0CeeFeRMOaCJy4YCEG8+egh6bFeP06lEoCcmWVXtfXEVx0CpCx9HRHcXaD/fgpvpGRBMacyWaUHHTU022InIxRUVXbxzxhGI5XjSh4oyasRYpi8WzxqctDZEu48UuZj4QFAclw3jNCdhswaTLh5nHlacme36PlITtf8d00RdXU0WAIngVJ/SRPnLmKRDR4wC+BmAMEbUBuI0x9nsAl8AYOgKAuQDuIKI4ABXAtYyx/bkamwjDeeUxkPCUkwfD+H8ZIa6ouPOl7cJ98MRgU+sBhGUyVAEHJODShzciHJAtsfd+3ry1qpdrAM2dcpTh3PoSChRVxXWPvYOookImQF+HFZYJPTFFeF5LzpqSlqdWVR5JyWtzHI6Law70oQ6VaedtjqeLCtvccN2ZNbhkxvjUeMtLQml93w0hiUASQVFVgw7TW5924tKH3kpVg3Mxu627uvDzF7ZBlgg9A8xftHf12daSONGb9aFIv3gtfeSSffRNm/e/LXjvaQBP52osXjDUiqO5xkDCU6IwCDeiWghG/PDf/PUp+Ofao1MPdlV5BCQZZ2ltsmeIKUZKKiDOBxhBhnNrbu/SFE4V2Ma4SaLUpG0+L/1rL2HEzp6YgRUDAIrK0NkTc63kNsfMl5w1pX/8DmEtMz7a0204XnO7JQ03ICw5ezK+VDVKmDfQV1ZvWDYP06pHYVr1KJxz0tEGA8EXIukbP/vrkA69eTg8v4MJv6I5iSOB5zxQOQw9vMTGx5UVGVZ6FaVhLDqlypAINa/k3XjtHARNG0i/75GREEKynJoUAI2Vo6rM4Il4SR4vTbJkFKZi+cJpwhVnY7IXgOh9TrHkgnjMLHfKmCFmXlEaTim03qzLnVx8qvNE+pfGdvylsV3H8Mpemk2WCJfM0MgcTlXGdounc046OmUg9N6YF+MXlElY6KeHm+ig06LOZynZw9EoEFEVtHDPHACVAHoBbAXwAoCXGGPZzZYNIXyec3rwIkegj29zzZsnG1oN2yhmaWiHRLYeAZnQ3H7QwE6xE7178ftz0BNTbBlMenR0R3FTfWPSg9Em4RvrG4UrzokVxcKxTawotlBvRcJ5rfsPO4bkAIa6CaNTYa3HNu5AfYM4z8UZXrWVIxGUyaJdlAlOnzQ6RfNkINgZnN54IlVnsXVXF+5Ysy1l1G49X6MHc+iNn/5ZW1RXhSc3tRmIBGZvSzSJ84WOSHTQblHnayQ5w7ZOgYj+B8CxANZAYwHtAVAEjRV0JjT20I8YY2sHZ6hW5KJOwV9BeENHdxQzf/mq7eQjqk0QrXZFK3n+gHKuv90qWV8Na/6OXbHdzU81giCBQcV/XDTdUqvxfFM7fvb8NsuxVl45A3OnjDW819R6ABf+doMh3xGQgEe+fSqu+dNml9AXEAlIYIRUYx7RCtpcL9Gy+xAeeL0Ff2lst+zvZ+dPxbdnH4fVjbtS3kZCYYgp1nGYPTQ7vHLDXLR39WLxI5tst5ElgkwMsiSm+kaCWh7FLL/ttcbA6yTupa5lMGqCCgGZ1incwxjbKnh/K4BniCgEYHgUCuiQzRDLcEZbZ69FjqA4JOOqM47DgmmVqbCRPp5uB/1KXiQhYRduMPdQ5qJ3dvUBP3iiMbnW1cay5Il+D0Cf1BbDOoNWlUcQkCUkdCvUgCwBIE+0096kNbnpqSZIBMeubHqu/tn/NE5oFMYI6jve/axTaOT+v6nj8HLzbsfxAVoo7KiyIsdtFJVpPpXA+ABIGQqz/LaXnE5JSPZMAPGSNxvuucNswNYo6A0CEUWgFZd9oPs8BqAlt8Pzka8QhWpUxvCt0ycaHi673IN+lV9eEkJPTEzjNIcbvEhPiwz7mx93WKZ1lnx/1vEVjobLLr5tF3KsrSxz5e7r0e9tOQvFccw6vsIi/SBLhFnHVxjGVlEatqV1vrrN3SAAQFFQRuXIImFfh3ShZ4wB7mqtQUlCVFFBzNlQ6uG2qDsScocDhWuimYgWAFgOIATgOCKaDuAOxtiCXA/OR/7Caw5G9BCGAxIevOIU1FaWWbqa2YUGnLwGLw/1vu4+2/ftDFc4oPHgzfFt0bjMk5v52vCYuURwraYGrEJxelSUhvHrRVpCmsNujDXjRmDxrPGWwrG4h9ARAbjlmfcQV1Vcetp4PLmp1SJR0ZdQ0sxfaL6YXUhIxNQyYyCTuJ87dIer9hERbYYmXPd3xtiXk++9xxgb8n54w0X7qJDhJQdjF+vNNL7rVRNJj4ZPO7Dwd29Z3l/13Zk4bmypZRzhgISHFtcZEtnpnLNoO/5aT9UU6T85HVsPs+idE1p2H8KTDa14aN2nttsEJOCJq2dia3sX7nzxfegdsqKghDXXn2FI2Ld19qJ1fw+uf7zRsq+gDJgVuAMS8PISLUdhlztp6+zF5Q9vNLCInPJOmeJIzx0OVPsozhjrMmmc505Fz0dBwUsOJp2+yV7iu5nUXAQDsoWVE5QJwYBsu3o0J5YB73RVwD5mrufyc6E4L8c2jyMdgcOacSMwZ/IYR6Nw6WnjUXdcBYIBGeFAIFU7Ami/S09MwTQdo6yiNIyq8ojwuv7+W6eidf9h3LGmOXWtLj61GvMfWA+JyDZ34oVBlo1J3M8d2sOLUWgmoksByEQ0GcD3AbyR22H5SAeFsOoRPYRV5RH0JYzLSacuZE77c7sGVeURyJJx8pJ1hWxeDE06dFW3MenHn66Rs6u+n3pMGXpiiqVojBuMypHO15X3ik4n7l5RGsY9FxlrK5Yv7Ddq3PiVhGTMf2C9bd6Gy4fbyZ976ZLnIzvwYhT+FcCPoQnW/RnAXwH8PJeD8uEdhc65Nocvza+9GDwvq3fuDegnL3Ms2W312Nx+0JJsTajAmx/vQ/XoEsMY3cZkPq90Vq52OZBv3L8OoYCUUlHVG4zKkUX4q0tyma/Wp1WPEnpOnT0xvL59j7BHhptRa+/qcyQcLKqrwvwH1tv2zy6Ehc9wgRejcB5j7MfQDAMAgIguAvBUzkblwxMKXa+prbPXsQuZF4PnZfXOJ5RDfQkwpkJRtDqFdNDRHcUnew8JP7uhvhFFgX7t/9k1Y4Rj0q/k71izLVUOZubvu0Go+5NcgYvE9hSVCfMpZui9AfNEf98rH+L7T/TnDvR1KIDYoIp6Z+jBm+ycVFmGyx95Wyh/7vU+8JE9eDEKt8BqAETv+RhkFDrnOt32mSKDZ7d6b24/iLlTxqYmFGODGe0LTqEfPfT7ECGuIFWvsfTpLfiPhdOEYzr3vrUICxrk3FDflJYhN+dAOG3TXDXdPz7nFGBJSE4J24k8p5bdh2x7ZOjrUcxJdafeGX0JBQlFxd1//QAJhUEViCNwuZNCXvgUImyNAhGdC+AbAI4lovt1H5UByKxvn4+sotA51070QKc+x/rJ4GBvXLRrHOyNuxbO6Y2HHez2EQlKUFStZYx+Mg5Kki39Na4CcYFyqKIyvPlxB+ZPq7Qdhxn6lTyP13sqUebjlAkSUUqGwiks46bxJFrJT6gosfx+RQEZv7nsywCAK/+wCQqDrTAel84u9IVPIcLJU2iHJm+xAMBm3fuHANyQy0H58IZcca4HM35rF4/2avDKIkHhfssiQY8NbZwnUtE+SsIybj+/FtOrR1km47iq9WsIytvT4u/bNSdygj5ko+VLmgAQoh6qzH69aDpmHV/h6fe169EwvXqUrUe35vozhL9fbeVINLd3uRbCcYnzQl/4FCKcKpqbADQR0WOMMd8zyFNku2NbJr2cBwpRPNqrwautLLNU2wakfgVVp8pic6Wy/twApFbh5n0oKsOZJx5lm7yuGTfCwshx6mMMANXlEaxqaPVUcyCCZn7I0gwHEDe+T8crqRk3AnNqKgxtPefUVKR6ZIhW8j0xJWWoeLL97gtPBgB8srfH9Zhc4twvNht8eMkpfEREliUPY2xSDsbjIwN4Za64TehucfzBTvgtmH6sbcN2jorSMO5dNN0w+SxfOE1YWdyXULQiqKBsUeLUn5u5cby+qbx5UmKAMHltSdS++qFtO8oTxpXgOyv7nXFzEtcOZn0gs4egzxW4XUe342za2Wl4b9POTtvOd3wlv6OjBwBpRcyM0LBzP5ba5GYk0oy0l17dvkHILbwYBX3VWxGAiwCMzs1wfOQKXiZ0t37Hg53w82qEnCYN82f8PM1ieSJpBc6Kqm9ow6NXzsCOjsOGSdXIfLImr/m/ju4o6htS3WcBACFZwuJZE3BS5Qj8oH6L4bOVb36GGRMrUuEdkTF30wfiIS7u0QCwTQq7wem+sKOvArAYKpFRjAQkqGBYvnCa48TvF5sNHlyNAmOsw/TWfyalL27NzZB8ZBtemTxOq75cJvxEk5RozDev2oJRxSGh/IPTpCGqLNbDS+5B1DLUjvn0fFM7zp9W6Vi5HVNU/HnjZ0JZa0AzLpJEwj4Ds2vGuOoD6UNcepgNrbkeQAS3uL7IoxOFlcwQGS4zjdj3DAYfXgTxvqJ7KUHzHPyObQUEuwm9ub0LIyMhQwGVU/w2Fwk/uyIv0ZijCRXX/mmzpYeCG7xUOzvlHvprAMwtQ8WJ5F+9tB2/enl7aox2+zf3d9YjpjBAYZbV9U1PNeH33zrVyuzx0GFOZGh//OxWQ5hJdE3d7guRRze7ZoyrUmxfTDHIcou0ofy6hMGHl8n9Ht3fCQA7ACzKyWh85ATpNDm3C8XkIuHnVHjmNpF6DV15CUHpz81Lw3nuIdl1OetLWL0xcxvSTBFXGA72xjPSB7LziPS9lu2uqVOfCpEXumHZPEsP5biiQt+VVGHA9x7dDIWxVN5GX0/i1yUMDbyEj84cjIH4yB3ME3qmTc6znfBzKzzjY/bSQ0GEdCq++bm9vn0PblvdnJooReAekl73B4Al0avPx9RvbrPsJ1OURYJCA+2WQHbziNyuqShEJzI0skR4ffsenHniUSnlU1EPZaDfINkl4d3G5YeZsg8v4aMwgAsBTNRvzxi7w+V7jwCYD2APY+yk5Hs/A3A1gL3Jzf6NMfZi8rNbAHwH2pLx+4yxv6Z5LsMaA735vTY5X9+yz3Flnd2Enx2PnxnGnGkPBbc8iOiaHlUWNnRSA3ihF1Je1U/nT01N9k5jjCkqunrj6OqNu+r+PLlJMxqKysAYQ0CWwBgQV1TDVeJ024rScNqMoorSMBbVVdlOwFyUzqmHtRkiQ9MTVXDb6mb85LmtBpn0dBoP6WEnklio8hf5bsi8hI+eA9AFrYAtnQqbPwB4AMBK0/u/Zoz9h/4NIpoK4BIAtQAqAbxCRFMYY85+/BGCbN38ejaM+QGNKSpa9/dg6aomRBNsUFx3O9VO8/sjIyHcOr/WEmd2G5NTgtR8TfW0U5Vpky+npPIYeSrevcYa7zY3o+9LKFBUFdc99o6t7o++0RBvYBNnWohFSXodc2oqsPHT/SAiMMbwHxdNy5ge3NEdxZ832jOAzKJ0XvZpFxoThaTSCdHpIer5Uqi6X4VgyLwYhSrG2Dnp7pgxtpaIJnrc/AIATzDGogA+JaIWADMAvJnucYcbBnrzi1Yl5nASn8CWPv2ea4/gbK5yemIKwjIZZCJ4JSuQGVNGD7s8CGCl1/LVM38dDki46etTcEbNGNSMG4GO7ii6emO4Y02zrdG0eA1KP61Vr/vDz2VkJIjOnliSuskgase5rqUDQQkISBIUMByKJrD2wz1pG++O7iieb2oXFtApjIGI8OeNnyGh2sfy7VhiTqEx/f2j91Yf27gD9Q27UtvNqanA2zu0WghzGE4mspAiClH+olAMmRej8AYRfYkx9l6Wjnk9ES2GJqFxE2OsE8CxAPQyjm3J9ywgomsAXAMA48ePz9KQ8hcDufmdViWiCSwhiKPrwzTZWuXoi65IIoNMBK9kFT1AeuVMrzDTJT81hUMAACAASURBVMtLQnh9+x7IJBa344gmVNz98gf4FbanvAin5jB6gzsyEkJIllP5GqBf92dkJGTwNqKKCtUlrBJXgbiq/TY/fnYrIkFJOI43P+5AX1yxhJP472aHmMIgCuXpz83ut+dhNPuxG8N8/Do9884uw3YbPu5AQAIkkiz7iCoMV/1xE8ImJdpCk78oFEPmxSicAeDbRPQptPARAWCMsZMzON5vofViYMn/3wPgynR2wBhbAWAFoLXjzGAMBYVMtV+8rErsJjDA2iM4W6scp7CNmyCePoHp9ZiiSuWioOyYSObgTCenJKjot7D7zbikxsUr3nSsMXCDqMfz4biC6x9/N/WaV0W7iQI6wYtibUlIdtz3oroqy28lIhioDMn2n+J9xRQjJXjDsnmW/MiiuioASOVEAGuh4lCiUHScvBiFc7N1MMZYqssHET0EYE3y5S4A1bpNq5LvHfHIlArqdVUiulH18W6nAqx0VzmiyaW+oc3Q+5fvy2sCM93jAbBIVwPaSicUIMiSZKvcqYfZaOrh9Jt5KepKB8VBrcbAHHLh0tY9MSXj4506odx2zHpmlUz2Aq28m5vxGg1sLcdrbMxV4o+/3YonN7WmpLn1UiX5ELsvFB0nJ+nsMsbYQWiqqFkBER3DGPs8+fL/ANia/Hs1gD8T0b3QEs2TAbydreMWOjKhgnpdldjdqHo56Zbdh/DuZ/st3kS6qxw7w6Lv/auPW4sSk3yF71Td7HQ8OzAAt59fi8ryiIVFZAZvDsPzDSLY6Ta50ULN4MyngCxZkrPceL/X1onl//uR5btPNrTi4rrqjFk/61o6sKapHScePcL2XursiTkqdosWDnb1HWZEAhIUxqAyZvAstLGQ5bfl+9Pfpzynky+x+0LQcXLyFP4MjVK6Gdozow/CMgCOgnhE9DiArwEYQ0RtAG4D8DUimp78/g4A3wUAxlgzEdUD2AatQO46n3lkRLpU0HRWJU436q1/ec/ALCEApeGAcH8tuw85UiTdDJUobr1h2Txh7YCX6uaq8gh6494FfvsSaopFpBfYu/jU6hQ7KKZoSfl7/vdDQ9WyGXYxeBFbxynJWhSQ8ct/+RL64gr298Rw7ysfWoy3XU+JP72xA396aydOnVBuUDhNBzfVN4EkWMJ8nJbb1Rt3nOA5LbejO2oIW95z0TT88KmmFKvqkhnVqf1z4UKSCKQCl+o+4+ddW1mWnnHNo9h9vus4kYjuVSioq6tjDQ0NQz2MvMZA2EItuw/h7F+vtbz/wDe/bNHiNxsPO6XP1Y27LIaK89hn3/WaIT5dFJSwYdk8ALB8pgffTiTrMPOXr1omrHDAmjAGgFdumJtqGrNUJ3t98alaHYFE1nh+UVCyhL/czsU8JlkiyMQgS5Jl/7JECEj9rKUbz56C0SUhizBf3S9eGWBQxhn68+TtRGWJkFCYUL+pOCghnqy5EIVwzNeYazqJ6j1E1xgw3kuc9msnT253jxypIKLNjLE60WdO4aOv2H0GAIyxdwY6MB/ZgdPEn8mqhK/4dx8UdxDriysWD8GtXSOHyCvp6I4KGUEiJU676mYzZRHQwkdFATnVKpNDZZqIl37+WDxrfIp66kXdU49z71+HoCylJjdR1zF+Ll29MYuRUlSmkVEFk6vWi6E/JHLnS9stWkUVpWHcd8l03FTfCFW8Gwuc8gAi8DBfVXkECx98wzX0c92Zx+P+11oMtNylT2/B1GPK0N7Vm6LUcvDk8chIyJJyYCozhBg5zPfShpZ9Bpq12SD5BsEbnMJHDdBi/vuSr83ho3m5GpQP78h2MYx5xS+CuROXW7tGM/SGiq8YRatwfYXt7JoxWHP9GVjfshc/e/59w3bd0YRQx8kufq+f0EISAcRQN0FTg08nDwH0i+XFFc1Q3fRUE176/hzbMFmXTagnHYjyKgyAJEmQAEuhnAhqmm5FbzyBqvIImtu7PHaUIyGr7dz710IiMaWW05TNvaajCkNJSBYeRX8veZFJ9+EOJ6NwI4CFAHoBPAHgWcZY96CMahgjm8Vf2S5sE634zeAraj2c2jW6Hf+HTzXZTjKnTijHef+1HrJEmtwD01RAzWAAogmWmoD0kyX3MAhiKmcsOTvy6+Y1EVwclJBQWZLj34+4wtDe1WubzxF1issUPK+iMPfObmakG2oiInT2xDx1TQOAz7t6cThmNAj94TSBoU4uABpbD1jCe0VByZZCbL6HzZ6xbwzSh1M7zv+E1jthEjQJileJaCeAOxljjYM1wOGEbK/qs13YFrOZVW7++hSMKyuyTSDXjBuBxbPGG8IsIuNhhtuqU5QcFRXYmWFOQm9YNg/PN7XjZ89vs/1OPKEKm8ZEE6owZr70nBMxpjRsqA3oBzmqzZo7xV18an8i9XBcMbTOdIOT/HY2IUuEb9y/DqGAtbhMhEc3tqa1/1MnlGP+A+sRkMT5nuGkfZTv8KKS+gkRPQcgAuAKAFMA+EYhTeSixD3bhW2PXjlDuP0/1x7tOsHfccGXsHjmxLQE2g725q71t15ie8OyeTh/WiV+8cI229W0woB4QvuOfkJv3d+D6x+33u6TxpagtnKkY39ou3yOyGAsOWtKKsnqlhMoChD6HCizuUB/T4ncGCHRAkCfOwGMRWnN7V2DqtN1JMHW7BPRJCL6NyLaCOB2AE0A/okxVj9ooxtG4Kt6PfQFQJmA007DAUJxUEY4QGkVtpnHEgzIWDzLKB3iZcXPUTNuBBbWVbtu39EdRVPrAQy0iEmPoAQUC+LOes/p3kXTEQ4QgrJY4mJHx2HLeyceXWbZPiARPtnbg86eGC6dYbxel5423tOk1NkTw0e7D6GzJwYA+HRvN17Y8jliLpO9TMAVsybYP7gDgM1lcf0sFygJy7h9QS02LJsHBo19dvnDGzHzl69ixr+/gqtXbrbNS/gYGJw8hRYAW6CppB4EMB7A9yjJEGGM3Zvz0Q0j5KrEXXss+pujD3Qsmaz404He5Y8pKiRKP+lpRkACXloyF+1dvY4S23yF/rfmL/CjZ7da9jOxotgyxriq4pszqlMtMaNxFQmVpUJR5isuruA1wpzMP7oshC8Oxjydq8KAlW/syFI9tHXfmXyWC8QSKs488SgAVvFCoF9FVo98lIwoRDgtOO4A8Cy0rFApgBGmfwUNvlrt6E5HDTxz8FV9UVDCiHAARUEpK53LOH3ycExBNKFi6dNbXM/JbSxeV/yZjrcvruJQNIFoQoUsEUIyIRJMf+0bCUgIBwj3LpqO8pIQRkZCluQ2l2rgqCgNo7K8WLi/Lw72pRRI+Rj74irqG9rwwr+egbsvPBmKqa7HPFdyfaaO7qjwHhMl870aBA471WmZgNBgL+kBnDCuBCGZEHY5ttnjImjeXTggWYwrr58SebV2EOks+UgfTonmnw3iOAYVQ5WgynaJ+0ASzdkaSzpsKtF4uXronoNR145nZiw790ScP60S61v2YfZdr0Emsnx/XUsHXt32BToPx1Oez8Fe8SS85IlGBGUxXbK9qxdNbZ2uY+L6TLc8+57WMzkop+oXFkw/Futb9rnuI1Mwpv0bbHy4u8dTINBMKmDQahBUxhAySaiHAjL++MYOzJ3s3uuZw4uXlg8YDk12hhWGWtM8myXu6Yak3Oh7dtvZIV3jKpKd6I0nUk11zB3P3DBpbAkAuKqAfmfl5tTfi+qqMGG02FNQmDgswftZW4NFYugNEy+0u+mpJlSOLMJ7u8Q1HdmACkDNIBYXkgAVhITgu0FJq38w91fWw+2IQQJIlkCMWWoQem0y/4djCu5/rQX3v9aCOTUV2LSz01NznnyRsrBDITCmjjijUCia5l6Qjr6R15vR63aZGlfzxKKowHn/tQ4hWTZ0PIsmFEsNgB5BmVBbOTLtYrP6hjbXMIcZCYUlJ77Ml+FxhWHh795y33CIQDbnJiW1iQbigVw8Yzy+ffpEnHv/OtttnCqs17V0YNV3ZyIYkC3NefToi6u2RW75gKFekHqFo1EgIgnAwuHEOCoUTXMz7FbvXsJAXm/GdG7aTIxrc/tBi1EwF56FAxJ+c9lXcLA3LqwBCMkEIsLyhf3GL10VUPNq1Q2Fqw7mDTGHy5futRJh5qQKAOK2mhxuh9na3oVJY0vxXGO77Tb6rn35iEJZkDoaBcaYSkRLAQwbozAUmuYDjSG6rd7dQlJeb8Z0btpMQlef7HVXYScCRkaCwspfmYCHv3WqQS5b9HteO3cSVAZMGlOMH9TbdxzzkXsQgFueeQ9RRYVMhITJxIYDmmaUKHSlx50vvo+ALDtKmvOuffmKQlmQegkfvUJEPwTwJIBUjTtjbH/ORpVjpJNkzfWE7oSO7mjaRTqi8Xq9GavKI+iOGmP+3dGE8KZ1M676caxv2YdlT29BQHIP2/TFVbTuP4yq8gguPc1YJX3ZzPGpPg/6/et7F+jlpWOKqjF1XY/qjKBMyWwCCaubs4GgBISCcloN7fMZIUnzQBj6BfFEkODOpCbwzmvia6MvcjN7vvmU0C34Jjs6XJz8/3W691z7KeQ7vCR8B5oUGkgMkR/bS19gt/FWlIaFrQvN3+/siVkmUJZ8P50+DOZahHR1eZY88S5kiaCawg2cXcKNjLmlZ0CiVFe1bHQ2493V+vsR5CaQFJQJv/+WpmL8rUc2uSduJQKDFucPSBJUpiKDbpueUBKSEVeZMEnsBFFISlSTwhPNXEKb44Jpx2DO5LEoCsq45Zn3LIYlnJTbuPX8qTipcqRl4s/XhG6hN9kBADDGjhuMgeQbspEUyjSG6NZX17zKd/MoAFhaF4roe+mqnQJW42rXAjMdKAxQBBOQojI8+I8W/PGNHYgp/RO/m7R1prh74ck4uiyc8wQxYwyVIyNY37LXk9mRiEGFlgAGARk2VvOEb58+Af/ny1WY/8D6AVewOUWIioP9zYTMvSJEjZI06XPxDvM9oZvvTXZcjQIRFUNTTB3PGLuGiCYDOIExtsblqwWNbCSFMo0h2jFqRH2BvXgU/G+3c8lU7dTL2LOBuMLw0LodWd+vHcoiQWxt78r5cRgI59631rMfojlD2tYiCm028VnHYdSMG4G6CeVYn2H3Ni/ojiZwdFlYKDWiqSiIqaw/fnYrIkEJKkOqFqRQErr5Ci/ho/+B1pLz9OTrXQCeAjCsjUI2kkKZxhBFx+b9ePVJ1nQ8ClF9gPlcMlU7NY89nRaYgBZPV0FpqYMODhjGlBbl/CipJjt5iHBQRsvuQ2kbBC89mPVggMEj45377Bol6cEl0W96qiklf+7lfvchhhejcDxj7GIi+iYAMMYOE9Hg19IPMrKVFMokhmh3bJ5k5fDiUQCaoqQZdj+hSPso3YSdaGVnh8WzxmPxzIn49xe34fUPclftmy54HQSArCSr8w1eO69xokA6CAckXDajGo+8sTPD0fV37vPa3wLQPMnm9i7UVo603INHwJSVNXgxCjEiiiB5hYnoeACDIxg0xMhWUiiTGKKeUWMnTOfmUXD5B4nIkugtCsi27nTNuBGp46WbsGvr7E02xXGecS6uq8LVcyah+fODmP/AeksrTg6tFknKGeuHwzxJfnNGderaXGHynvTItcE4YVwJPtjtrbFNOvBqt3/z949BHiu5OWIJFY+9nV4/BREaWw9gYV01Fp1SZdCLIgAhWUJUeE+Q0Ltwut99GOFFaeo2AC8DqCaixwC8CmCp25eI6BEi2kNEW3XvLSei7US0hYieJaJRyfcnElEvETUm/z2Y4flkHRWlYUyrHjXoN9Nzjbsw/4H1uP35bZj/wHqsbuyv4uyXnoZF2G75wn6PgoeWzD2NgfT7LnBxuJtXbcHaD/faiu6VhGRHyQmOOZONYxQVHRGAP181E0vOqnHdnxNCsibF7ASzDXtyUxvWfrgXLbsP4c8b7RPZDMB/LjoZC79SOaAx2qFlrzXGng14TUXEFeZqkC1idoChx3WmmFhRjI7uKOo3G0kSDAATWDSC1stioKHfwRbLzDd4YR/9jYjeATAT2nVfwhjz4k/+AcADAFbq3vsbgFsYYwkiugvALQCWJT/7mDE2PZ3BDzVyxYN2Yk+Y6Zi8s5h5HOkkq+3Oq6s3btmHuauZ2WvoiSmeQhO8oIkcqlwDMuHShzciHJAzltguCkpYccUp2HMwih//5T3H4ic9+HkmVOY6gY4uDWPmpDFY9Y59tW2myL88S/bAV/wKE1OWg8nVveg+FkmgBJLyJXbhV8DYqEf07OYrlXUw4VX76KsAzoBmpIPQJLUdwRhbS0QTTe/9r+7lW9B6QBckcnnz2LEnmtu7hMZiw7J5mGZiCHlNVjudF68xMEPf1UxP8+vojqJ1/2FPsWqngiYOHoKKOSQZvaA4KGP3wT7PBoHDa6vLg73xtBhaww2Zmq2gLOGKWRMwcXQEP1ltbZUaTyg4bmyp55xCUUBGc3sXRkZCmF0zxrBY4qHUoCShL6GAMYZIMGB4dvOdyjpYcA0fEdF/A7gWwHsAtgL4LhH9JgvHvhLAS7rXxxHRu0T0DyKa4zCea4iogYga9u7dm4VhpA9RWMVLHwP+XTfX1M79Bchz9zZRVzYeWnLyEMz9DohI24dDVzNAMyaz73oNN69qcrsExn3kWP9/wugIFv7uLSz/3w9zepyemIJFdUO3opQ9VIvnG2KKiofXfyo0CIDWCa+iNIxFp1R52h9Xs7384Y2Yfddr2NCyL7VY0t/XcUXz/szPbi66IxYivHgK86C14eSJ5j8CaB7IQYnoxwASAB5LvvU5tDqIDiI6BcBfiKiWMXbQ/F3G2AoAKwCgrq5uSHzrTHnQXr0LO/e3trIsrVhpul3ZnPodALDtauZGjXVCOrTFTJCLJK0eEmlUyJAse/YssgkeDlxUV4Un3v4MmhTH8Ag58ZzC45uck9aRgAQVgKKqiCpIiSvyVb5b7Qx/dgtFmyjX8JJoboHWipOjOvleRiCibwOYD+AybmgYY1HGWEfy780APgYwJdNj5BqZ3DzpehcLph+LDcvm4dGrTsOGZfNSchVeu7dl0pXN7rxqK0di7pSjsHzhNMuxAeD17Xts2UN2KA5KCAUkRxlrWdK8lKIMurLlGpGAhJBMkEhTeT0UTeQk/r941nis+u5MXD1nIsyXIRyQsPScE/DolTNQ39CW1AcaHgYhIGk5heb2LseFg0zA7xbX4aHFdYgEjWtcp8leD/7s5qI7YiHCi6cwAsD7RPQ2tMXnDAANRLQaABhjC7wejIjOgcZc+ipj7LDu/bEA9jPGFCKaBGAygE+8n8bgIpMahky8CxGV1StNNtPjOZ2X+dg8ThuQnCWLzUniRXVVuOy0CSgJyc7yCYzhnou+jKa2zpxXMnvl7QNaC8mrzjgOU8aNEOry2CEoadXLboqgeny6tweX/f7tpBaUkUcaS6i4++UPEFdVJNI0BppMRP4iIEuoKo+gqzcu/DwkEUgCli+chrlTxqKjO2qZ+GOKiq7eOKrKI4b7ui+hGLriOd3jR5pBALwZhVsz2TERPQ7gawDGEFEbNGrrLQDCAP6WLCZ5izF2LYC5AO4goji0e/XafFdhTffmyaZr6qXuIdPjuZ0XP7ZdyCgS0IwJYzC0orSrueAPK4HQawq/KAy44cl3EQ6m3zglLAMgyTM1Mp059XBMwe/Xf4qEyjzvf05NBTZ+2gEJWtzUK9Y5VBIzeEuGH1MWwuemPtD5ZhBOGFeCnft7U4uRn86firbOXhTbeIlLzp6Mf649OnUv8QXNzauaIJOEmKJAUVVc99g7Fpbe1l1duGNNc9K+Wn/4fNcmyjXIqfFFvqOuro41NDQM9TA8Y3XjLssqPJd0t1wer6n1AC5/eGPa6pUidHRH8eA/Wjx5A15X9GFZgsoY4oJVeThg1YnKFWRJW5Un1OFXFe0VYTnZztNhm4AEvLxkLnpiCrbu6sLPX9iWWtWLwkdhmUASGe7p5xp3YemqLZCoX/qCoygoYcOyeQCA2Xe9ZljM8M+OJENARJsZY3Wiz464dpxDiVy5pi27DwlX4bl0havKI+hLWFepfOV8x/Pb8NDiOqFnIqrvGBUJZW1sAGyqXTWcfvwYbPykA4dzpTetg6Iib3WNBguSBBBzLjRJqEB7Vx9qK8tw8Yo3XVV2owoDFGZQAuY5NBE4pXvPwagl/+WL5RnhG4VBRrZd01v/8p5BAoALieXqeHo4eZl2RW5mBpa+F4IX2HkJAdKa1Iiqt83Y8NFexxaUPrIL86rdDgd742mr7DKV2SoB63E4rtFVg7JkyX8diQwjJ6RF6yCiciI6OVeD8ZEeWnYfMhgEQBMSa9nt3vZyoGjr7LWwPcw4HFcMLCsRA2vlm5+hL66mmuMAWhIxJGsGLhygVEjKDgTg5R/MxYOXfwXhgLtx8WoQgjJpPaEFn0WCkmdDdiQgQMjK9UhHAA/QPIbW/YeTzYDsv6eoDNEEM9xnJSH5iGUYOcFL8drfiaiMiEYDeAfAQ0R0b+6H5kMPUdGbU1OcXMPu4Y0IEoPcPRcVB5lREpZx5798CW/ecjZOmTAaVmWdfkjQJqP7LpmOmnEjUrTZcEBCcUhGOCBhTk1FuqeWgqb7wzBlXInhfQJA0Oio6YDgdDaFDZWJ9YjSRVtnL3563lQDLXTxrPEIyfaFjjc91YTz/ms9Tp1Q7vk4JWEZty+oTdG9ffTDS/hoJGPsIBFdBWAlY+w2Ijoiu6EPVc9Xu6K3bDTF4dCfGyDWhdFDRF/96fypqC6P2Ba58b+dkFAYjiorQmdPDD98qsmRo65Cm4wadu5P5U4O9SXAGIOiauGti+qqcdv5tfhr8xcZVzWbC+D0rJ90VFJzmWgeWSSjqy+z7IUEjTY8kNy7mvqPFcVBrbhMK7DTCtFE9RQ31r+LcECTnrjx7CkYXRJK5cmWnDUFze1dlnsL6M9jOTG1zFBUhjNPPMr3EARwZR8R0XsAvg7gjwB+zBjbRERbGGNDHkYaTPbRUAlldXRHHdkStz73nqUpjj6n4MWQ6c/NThfGaXzm/Tuxnsyf8ZyC+djRhJJWIVZIBkIB2RAeALTV5Vu3nIW2zt5UAtOHEeGABMYYjhtTnJMK8AumHYMrZk7Arq4+LF21BQSgzwOVV6tUZli+cJrl/iF4z1UAWiFkQAJCsnzECt3p4cQ+8mIUFkKrVVjPGPv/k8VlyxljF2Z/qOlhsIyC3cS85voz0BNTcuo5iKifI8IBPHrVaSldFzv2kRdDJjo3PTKl6zkZI/N4tc5ee3Hni+/DQ544bay88lTUVo50PE8fuUemvSf0dFXucT7f1I6fPS/WTBJhRDiA31z2ZYyMhI7YojQ9BkpJ/VzvFTDGPjnScgp2jIhv3L8O4UBuVx5eitD0TXE4vCg+dnRHPUlUONH17CZ/O9aTHftIIsqJQdBAqCgN49QJ5WmFGHxkF5lGpxIqcO59a1Gk817Pn1aJ25/fZtlnOEAIyBJ6olaGUW3lyCPeGHiBF6PwXwC+4uG9YQvRxMxXnFzWOVcSu5m2BXWTueCTs5tERV9cRYlAIRVIP6QmMlR2Hc0ALfRDYCDYddlyB2+80rL7UEEahKKgBEVlYAxpyWMUIgKSJqctCgvFVSAe7X/W1lx/BgKmPtBBmfDCv86xFMBl2kr3SIWtUSCiWQBOBzCWiG7UfVQGIH3dgQKGeWLmzWGi+hvSoQBmoAnqTIrQnDwMO4mKooAkjPW2d/WlPBF+LiUhOW3tea8c9LAsAaTFkqceU4YnGz4TVjtfMK0SMyeNxu1rttmGhXjjlcFgZOUKL31/Dv7+wR784sXtQz2UnOKJq2ficFzBlX/Y5NjYSJYIq5vaEZIlxJX+BU1RQEZPTMG06lGYVj0K55x0tOGZGSqiSKHByVMIAShNbqOPTRxEATfHyRT6iVkk5MbFtzq6oznp5JRuEZqTh9HUesAyOZeEZVw6o9pGaoJZzkXUNc2tMtQrB12SAJURGnbux9KkNyPCK+/vxsvNXwgbAXEUBWS8+XEHdh/scz1uPqEkJENhWuFfzbgR6IkpOe8HPZRYPGs8jhtbirbOXty+4CTcsWYbZImS9QXG37cnquD36z9BT8w5rKp/ZvyOat7hJdE8gTG2c5DGkxaGUvtIz6Jx6uQ01DorotWRU+L83PvXWVzyt245C4BVM8YML+dmxz6SJbLEgb0imJSwFsWS+cRSSCAAt50/FWfUjEl5aC27D+HsX68d0jFl+ypeMO0YzJk8FtOrR6H584OGSfun8zXtrHhCwcLfveW4H70B1U/0eq92/gPrj3i9Iz0Gmmg+TETLAdQCKOJvMsbmZWl8BQnuOaS400p/i0mn5h6DrbMi8jDsvIiacSNwz0XTcPOqLanJdPnCfu/CjGCy2pcn27myJT+GCKJQ2JKzpuD17XvS6qGsB28ENDISMsSSY4qalQbygw0G4FcvbQcIqYnOa+9rPfhkmY0Ee8DB8GaKv27bjVvPrwUASyjy52u2YcOyeXi+ybnvdUlYxu3n11pqDsxerSrwJn29IzG8GIXHADwJrTHOtQC+BWBo+mDmGSpKwxgZCSEky6luT8DQdnLyGje1y1OI3ue9l81eQlxhWPXdmQgGZG0yXrPNstJzkt/Wv55ePSpj5VI9s0QfS373s860aIuDjalHl+KMyWOxYt2nls94bmfp01sw9Zgyz72vOUIy4fYFtZhePUoLdQ4Q3PB+srcbP3v+/QHvDzC2umQmb45rGo1xmbRFRWgiQoMZTgSKIx1ejEIFY+z3RLSEMfYPAP8gok25HlihQDTx2zX3yDULgksH61f5XnojmGGOxfKCIzPCMiEYkFFVHrEoW/742a22br0IPTEFYZkMyfuABEhECAfk/sYo/G9T0x5Aq+ng51lRGs77h37bF93Y9kW363bn3r8u7c52MYWhKCijvasvLYE5O/QlFNRWjsTB3nS6QTgjpqh497NOVJdHDL87oGkalYRkzDq+UPCNvgAAIABJREFUQhgC1N9bZoPghWYdlp1Zd0cyvBgF3vrocyI6D0A7gNG5G1JhwRyK6UvYN/fIJeuhoztqkYW4ob5pQFWcon3qQRKhqjxiyyriD50Xum5VeQQkGeMjAbm/QFBrjLINDMyiwPz42614clOr5Txrxo3A4lnjHWmvoSQ76ZIZ1QPObYhw89enIBSQ8O8ZMoe4dxbPIKJ/U/27AEmIZSGExnOPZZHsCStHE2rKkzPnLIqCmpppzbgwZk0ajfW68NfM48pxyzemWp4nrzRrAFAY85VRbeDlF/4FEY0EcBO0+oQyADfkdFQFBrf8woZl81LVx7mCqJetomoaQOZG5vqEs5OxsuuPWxSQUvFu/j0nVpE5jyI6rlOeo6M7iotXvGmbH+Bj5Od586otGFUcQm1lGe644EtYPHMiGlsPYH9PDPe+8mFq/9fOnQSVAXMnj0HdcRVYctYUXWcujf2SUBhiDjUSUnI2Y7AmYouCEs6YPBZV5RH86uUP0kp4EzRPaSAF2Jpty05OJRIMoLm9y9ZTCBAASq/VqB6ib1WVR5LV7sZ8yFufdqIkJNuGjPQoCclIqExr8qM7CKXpeR1JcDUKjLE1yT+7AJyZ2+EULtzyC7lPaLnf5KLiNWeKnnifPzr3RJw/rdIwoS+qq7JdkevzKKLj8hDX7JoxWHP9GQYJDK/hAD1EvRw4i+fCU6rQ1tmLx97agf98tQUAcP9rLSnNKHNeoqs3jqv/uMkS3uCQCCAJCEjWoitFZSnD9+tFWgKfMeZJ04kBAOUPCbUnlsDVKxsgC1RuU2J6WeziuKiuChWlYby+fY/w88bWA4YqfpG3WhyS8R2bXtpFAdlPNNvA1SgQ0RQAvwUwjjF2UrKfwgLG2C9yProCw1AkljlqK8sQkOBY9CMqXnMqPKutLLO49QRg0thSw347uqOob2izHM8c9xUd96anmiCRFuIyU3sX1VXhyU1twvaKbuAqpjxRq9eo6uyJoX7zLsP2K9/8DAtOrkzlSDgqRxZZwlp68OsdF3gTerr3gunHonJkEdZ+tA/PvNuGtk73ugknhdjBhsqQJAJYwzK5YPzWN7RhyVlTUF4cFH5ufl/07Ol7aZtrWfzGOvbwEj56CMDNAH4HAIyxLUT0ZwC+UTAhU0mKbB373kXTU43LFabi4lOrUwqkbsVrdh6NWUqAAfjeo5sNCWTRKs1MFeQrflWxMpgAGLwrvqITeR5FAUKfgKUUlIGgLO68xhO1DMDyhSfbxtgveegtRIIBi3HKlNIZCQZS19TcIc8rtB4CDEFJhsJUfO+rx6MnlvDUzzosE0CEWELNE3/DO/j92Hk4Lvzc/L7+2dPnhXhuISgTwgFjfs33EsTwYhSKGWNvm2JwnigIRPQINCrrHsbYScn3RkOjuE4EsAPAIsZYJ2kHuA/ANwAcBvBtxtg7Hs8jb5DLvsiZHJvHyfVj8erRtHX2oiggI64Yf25zAlm0Pz1VUGMwNYFAA26DefrxY/DaB1ZG9B0LTsKxgl4O5kTtDfVNWHG5WLYrocIQYuB/Z8rx5yy0hk87MjIIgJH2268QusvlWxrOPHEs5p98rCV0MlQoCkqIJw2ymxPE70c7BpmoZ8iC6cdi6jFlWN3UjofXfWLowa2vZfFlLpzhpR3nPiI6HqkwJy0E8LnH/f8BwDmm934E4FXG2GQAryZfA8C5ACYn/10DLWRVkOBx6aG48czHFo2Fr6rCAUJxUEY4QMKVk5sshd67uPvCkw3dsnghW8vuQ7ipvhHRBPOkoe+Gf3xoXyIzMhLCBdMqHb+vqAyvf7A3ax3Q5tRUpM47KGua/fzvhKLi2kc345KHNma8f4n6Q2Evb/0Cp//qVfzyxQ88fff17Xtx01NNAzII4YBk2/EsXfTFVSjMWwEezynUjBth6Z43p6bCogoMaPmq+Q+sxyMbPjUYBKCfUjtUz2UhwYuncB2AFQBOJKJdAD4FcJmXnTPG1hLRRNPbFwD4WvLvPwL4O4BlyfdXMi0Q+xYRjSKiYxhjXg2QjzSgPZeU5AKKH3o7l5xD713ovRR9IVs0oTrmOdKF3YRy6+qtCAua7Ijw5KbPshZO2bSz09BXA9BYW1f+YRMUBmE4Kx2oDPjOHzYhHNSfm7fRa8lx8baRIKE37r4fCRp9c7DBcwqAdo312LSz06IxZsc+4nCT8/HRDy/so08AnE1EJQAkxthAu8KP0030XwAYl/z7WACtuu3aku8ZjAIRXQPNk8D48eMHOJThDzvto2VPbzFQPO1qCbhLLqJ03n2h1mZDXzQGwFLINhiIKzAoZjpuKxgWL5QLyFJaE3lQklLKnICmUbTuo71pG8Jr5x6H9784iH98aA1VabLR2S20WjDtWKzZ8rmBz6/JdKuQJSk1ufZ6PJHfLz4Fb33a4SnX4QX6amen/Be/v7t6445Fevr8znBALhVfHY0CEX0VQCdjbAuA8wDMJaIWAL9ljEWdvusFjDFGRGmZcMbYCmieC+rq6nzz7wA72il/2MwQPTTmfejlK9a37MPsu14z7H9CRUlWKmi9ICxr3RZUNnBvhIjw4vfnoL2rV9gH2A6H4/0eglsyWSYABIjKHh5a9ymCAS/R3OzgolOq8PQ7RsZYLKFqirRpPlUnjCvB9PHlCAYk/M+GHVnxDJ36evPP9PdmTFEd1XKHE9so14qvtnchEf0GGsPoYSJ6FMClALYCOAXAIwM45m4iOiZ5jGMAcCLyLgDVuu2qku/5yAB6d/pQNIG+uIqlT29BR3cUJSHZ4maLtGBE+7jj+W3o6o2jsycm3H9JSLY8xEGZEJIJkWD2Jj2ZCA9961T8+aoZrpNQUNJi405gjKG8JIS5U47C8oXTDPmRxbPGoygooViQ9FRUhs6eGFp2H3I0CAEJWHHFKfjmqWLvVmFwVKC1Q0lIRlFQssTd3TCqOGShkqpMk8dIN/fzwe4ezLzzFVz7J40XIpP79XYDzynY5aua27uwdFVT6v6LJlQQEcIBsuR3ioKSI9uoozuKptYD6OiOCl/nE5ye62zByVM4kzE2lYiKoE3ORzHGFCL6HYAtAzjmamiier9K/v853fvXE9ETAE4D0FWo+YTBbuYhOp6TQisAi86QSAtGtA9eGJZgTNhPoSemYNEpVYYJ8pszqoVVxVy90m4O4vOKTGQpHiNiqK0sQ1tnr+VczIirAFz6OMhEKU/JjsX1xzd24P7XWizfXd+yF/t7xNTJoESQJGDGxNH4zsrNwm3cStRkCSgKylZZcCL89vJTUFtZhorSMFp2H8JD6z7Bk4KaETMe/EdLVusL4ioQV5XkuIBbzj0xLTFC8zXgOQXz77F1VxfueL4ZAFm8OTPDCIDrc2jWC7v41CoLjTuf+i4MhvKyk1HoAwDGWB8R7WSMKcnXjIjET4AJRPQ4tKTyGCJqA3AbNGNQT0TfAbATwKLk5i9Co6O2QKOk/t/0T2fokUmLSi8GxG47u+O50U7NBVlcx0gPO/YRZ8OYEVc1b6N+s3FSMmsT3Xj2FIwuCWFiRTEuf+RtJGwmbEXV6g9Elb3hoIzXt+/B9OpRjsVlXsEF2DhESq5zJ48RGoVfrHkfsk0joKXnnIAvV49y7AngNvJ/PbNGWJugMIZP9najtrIMgNar+6JTqjwZhWfecZakHggUBqx1YInpcdlp43FSZZmwe55+ouP/v/C3G5KLCOtVE/VhdnumzNpevDbGazfBwcZgFMg6GYWjkm04Sfc3kq/Hetk5Y+ybNh+dJdiWQWM6FSy8VgpzeDUgdtu5Hc+pkM5LkZ1+HxKRJQFr7qdw94UnoyemWFYy5gK1O1/anqp25k12RPtnAGI2+j09UQW3rW523YdXyASDpyQywsGADImsFbwJBiRsjNLOjsMIys6hlKCpQNCM/3qtBZKN0bnzhW341cvbU/eEmYpph1xnfES1JCI8+84urNrcZtG1EoUzm9sPCr3KSEACM2lxAZlre+kx2P1P3DAYBbJORuEh9Lfh1P8NAA9nbQTDCOm4dl4NiNN2bZ29tjr0dmEQDq9Fdny7Nz/uwPWPv2v4zFxYxdkgXlpu8gm4vqENa64/A6ub2oWrcDOKgv3MGPM+vCaJRb2oFQbEE9r+7Ixw3CTZ7QX1mz4DCfSC9HCbmBQGKDbbxJKhMX5PHOyNpTfAIYad1ymWthZfg2UmLS7A64LLvf4iHxPUuS6QtTUKjLHbs3qkIwDpuHZeDYjTdiUh2VaHnsOuZ4IZbquqvriCkARDRTLvp6BXgDWvZDgrxC5vwPMQC6ZVejIKF36lCs++02ZYEfN98CQxPzbvI62/RsUhGacfX4FX3rcKre3oOIzjxpYKjfDUY8qw9qN9ruMzg0/aIkSCEhQVIDDHnIgX8Huiuy/9QrVAknCUR1JLwnBmbeVIi1cVlEmoxeVV28usFyYRJ0bktxyG1+c6E9gaBSL6CYDfMMY6bT6fB00CY43o8yMR6bh2Xg2I03Ztnb2GlTOgsT4aWw+gvCTkeNNw6QmZJMSS/H5zj2m+HdeoN0tUiB5cwLqS2dCyz7YArjeeQElIRk9MwWnHlWPjp8LbLYVn3mmziOPZFdGVhGScc5+xr/HhmII3WsST+8SKYltF1m/cv841DJQu1GRs3Itqqhv4dfx4X0/a3w0GNOOkOEiE5xq8z7bdZMwXLT87vzYlax5XVDDGDL1L7LS4RAsukV7Y8oXThkymxozBJqxwkF2lHxFdAGAptITzO9BacBZBk6GYDuAVAHcyxoasNWddXR1raGgYqsPbwuuPaW5ib5dTsNuuozuK2Xe9JtSQd+p41tEdxWl3vmK7eudNzQGktX+n8+7ojqK5vQvf/p9NhhAMX5kFZclTNbLdOPQPcmdPDI2tBzCxohjffHijJ7XRE8aVYOf+XgQkSmscJ4wrwQe705+Isw2JgIBEkCQSUluDEiCR5j3lE/S/IVeR5f0tOMyhoBvPnoJQgHDni+9DH2EqCkq2YUR+T4uex6GafJ2Q61oEItrMGKsTfuZW/k1EkwHMBnAMgF4A7wNYyxgTV0ANIobaKGTjZhoo+4gbDNEq3O5BWPvhXix+5G3bY40IB/DoVacBAC5/eKNBO8epUbq5FajZYDzftCtr/X3141jfsi/1AB2OK4ZmNuk2uxchG/sYSGeEoATIspRRHQOgGa4dHb1QVYZ4mkkRbmziChuwNIj5GoQDEr47dxIWTKvEyjd3GGjMvL+F3cInErT2rygKSoaWrXql23yjljpBdM5ORi0TOBkFLzIXHwH4KCsjGUbIliX3Ghu0246HS17fvge3rW42JOfsmRPOj3dvPGFbTWrXKN1M7bvpqaZUDJdfK8qaDF3/OAA4NmnPRpw8G/sYyC5+fN4/AUDGBnUgnsz359XgKxNG47rH3hmw0qr5GkQTKh5e9wl+t/YTC/to5ZufYfHMiUI2GyDur8En0VhS1TcckPCby76SquMoFAxGLYITBq+ufhiAVzq27D5kqSq8edUWrP1w75BUQVaUhnHmiUchmrDG60Uxf56wswOXSRdVk4pivc837bKEaOIKQ3N7lyHp12vDNLGDmYVJsFao8gfICQEPFc1uCEhaEVk2oWn8u1cjV5cXwwtTJheoKi9GbWWZJ0ZZJjgcV23brK5v2eeq1AsAxUEZoYCk9Y/QISRLGBkJFpRBAIa2WRfgTSXVB4yeAWe16CFqATnYIFORl10f2orSMO65SGsPCcDyUOpbFTrR39w9ALLVWeLgsXxR+CsUkPDolTOwo+MwplePQnlJyFNvCDOeuHomXvtgD/777584bucExqCFxjys+YOyJtDnBhkAA8NFddW47fxarG5qx29ebzF4JjIB33vsHYSyqIsUkiUsqjsWj21sdT2b6Umpaad6lVxhTGnIVak3HJDw4BWnoHJkEeY/sN7g1uUjndQLhrJZF+AbBQDucX0RxU0EfQvIwa6CFDXEcepDyyf75vYuS1LO/DCJQlduUsUBSaP8dfbEHGPhH+zuSdU6bN3VlWKWKKpmXOuOqzAkHfVKr/w3c5o0JNJ0fo4aUWQ7Bi9wqhUw4wdnTcF///1jYyhPUKDWl3y99Okt2LBsHr51+kSsWPcJFN314seN6RRgzdRgN5iLDH86fyqqyyN4YlOrhY6pTzksnjU+1bdA38Dmt6+3wIPqdv/xJUCSJMQV1XOdh0TArOPHpI5tkGV/YZthspw7RaulHcqJNNsYymZdTpTU+52+yBj7fvaHM/jwkhsQxfh4UksktTwUVZCZuJwVpWELt9+JDuimrQQAYVkCiGH5wmmp8I6bNtHW9i58efxoAABjKhRFAnMwvqKk9oZl84R5lVBAwjfuX+e60p5TU4FNOztBSL8ftB5hmfClqpGWHgSyRHj8qtOw9qN9lq5g/H6ZVj3KMLHZ1Vmcf/IxnqQs9MfmPR94rwuJyMI+C0qEexZNR19cSXlmXBadJ/MDEqVlEAAkPUmG2cdXGLrYEYDScH8/7ifebgURgTGGH379hJSMSc24EamFybTqUTjtuNFobD1gGeNQTqS5QC5rEZzg5ClcC00VtR5AO4YqqJlDeC1ysQtR2EktD4Xbyl3Om3WTpdeVkr5nAn8IOdLRVgoHJDy0uM6Q2Ksqj7hqE9354vsIGRrkaPu9sb5RWOEtSmq/dctZOPPEo/CT57Ya9t2ffOw3FJGABBUM3/vq8VAZUhTIlt2H8NfmL7D8fz90vWa2IE0f+6fnTcUda5pT/Hfu9Rw3thQr1hnDWE51FuaQyOGYgjVb0tMtWlRXhZpxI9DRHU31uhAhqjCcePQI1IwbIZSlzlQSO6YyQLW2NZUIhkQwbx372Fs7cOdL21PbcSYSYLwfRQyj2TVjUt/LR6ppIcDJKBwD4CIAF0PryfwkgFWMsQODMbDBQDpFLiLXtGac9gC5rbSdkM0bl/H/svQIkNnUVuKuPEdFadiimqoHQdM3igka5CRUTe9Gv0+RXk1cYXjz4w5Ujy7GT8+bmgoviFbanMoaTaipUNXv1n6SUse0Q0DSivv6EopGewzKFlXNvoSSasEZV1SoKoMcRKqzXcvuQ2hsPYAbz56Ce/72gcFgmO83s0aVsRl9//1q1pAShdDqG9pSKrWiwjw92rv6UF4S8hQu1UMCUBLuvz4BWbJNIHPwn0UvetfZE0P9ZqNiPmci2Y2Ls6JueqopVQBXyJTUoYaTzEUHgAcBPEhEVQAuAbCNiJYxxv40WAPMJdIJuWRDR8iMbBao9HdTYwC85TZ4QdnSVU1aD2WBtpKT0XQ6b27sRKqp4YCEW849EWNKw1r/ZsdYvfkz8aR2w5Pvoig5AfBGQKKVdkJhKApK+NEzWwwrX66OaYdr5k7CpDGl2N8Twz1/+yA5LIa6CaOx5Kwpti04+d831DcZ6icIQCSElMGwWxwsmH4sKkcW4anNbVjduAu9CauB4xThJWdNEYbQAKRCaFY9ITOYKzlAhH89cxL+X3tnHiRHfd3xz9vZXUmrWwIvCAmQLdsKwqwg4jIUAWO7IAFjx0T4Cgo+SKrssknwAbaDD6oSLoMhJK5yZBvbZYPlA0tFEtkG4bJwgoKMViAExkSAdYCQFkkgIe1qZ17+6GN7erp7es6e2XmfKtjpnlH3r3/zm379e+/9vm/e7Cm+SydKKyuKVw4WCy4Pbo1+5hzcupc39k9NLOAUFl6EMYOR9FuwGUUxZQPNInIK8H7gHcB/AdGi8G1IpVH+JB9fpf6/NK6rSgZrpbnNnkHqklJd+lyX+P7cckYz6rqDEhqHC4WSvOfeXBcnHzszUrspSE9OWDRnur/9zM5X2bIruhqsU7LSuQFcf99mf6HPTe89iatXDAKOSy1fcNKHK3WFLF+7JeTiGjO8933ibLbs2p94zHxYuJAxg3H1jzciQHeui3xBue7isep2t9//dOws69BInv3Do+w5MOJ/B6+bNqFEijzKhRZFrkvo68nx0B92RbqYenMgEj0DuPPXW+jOdfnxgF37DyWey2P3/uGiesuLAzpaQTxjU21qbNxvodErh9uRpEDzV3FKcD4J3ANcq6q1rV5pQbIKTpW7iVc6WCuZ9ZTLHArKUp963MwiX7BXESuOof3DXL1i0L1BxtddiNNugrE1BTdfOmagy5W6DBLsxxXrt7o1mZ2bcqFAbP2GJOJcXCOjBf78jrXkyqyVSMJ7wvWO/4V7NzG5N8doQRNdMHnFL2TjBcp7uroo6Ji7K8qFFnu8gsbWfcgJLF92Kjv2HOSaezeVvJ9XyLttDcYDynHT6qeKpL+TCD/EBV1E5eIeUb+FSqXuO4WkmcIXgWeBAfe/f3Lz3gWn/MFJjW9ec8giyp90E69msFYSaI7LHIqSpQ4HB4MVsaKI07zv6cJ37yTNxqKC1eVKXYYZyRfYd/AwD2x+kYdC7a83XglLYp7C09zcoyjv5inG+56879RbzRuVv18NeXUWiXXnuuoi++HhZWF5SrSrNkYH0X/xxIt+IsRvP/c2/yEOxqqrecKLcUHo8JjLeuVwq5JkFOY3rRUdSJLrauPWvVUN1rSB5rjMoWsuWMjNv/h94g2pfDuiz3vbZSczb1Zf0WwsbbA6zs/stymgsOkFe6/83vpUOj+TurvIq1JQrUvBeRhLy73u4kW+G+iqezaUGNhG4q3mXdA/tWS2B9HaQUn05IQPLF9Hb3dXwyS2k5RogxlhwWwkGAtUh2f9njBiOKPOI+uVw61KUqD5eRF5N7AAeFxVf9G8Zo0vkoKIUa6ragZrJYHmqIygy06dy8UDc7hhdfLU/9BoPrEdcZr3Z75hduIiuiT3XZyf2eP9p83zg72eCms+4Q4/qVtQEb8s6OJ5M9j8wiuxT5lRN9U4omY6Q/uHeeT5ZEnweuPNltY/OxTZ9usuOoF/XLkptSEMu7jAmQUdzisjdVBeTRv3gLFspKgbvTfrT+N+zXrlcKuSFFP4N2AR8N/A9SJymqpe37SWjRPKDc4o11U1g7XSqm/hjCDPLbR0ydzETJxyqrpBCY3g4jLAX2QUdb1J17agfyqXn3lsbLu8tr9ycLTsitkFR/bxtaUnR66MDbolgvLbH0pQlA368sMzHe9hYN/Bw4lZM0lM7OnilksHuP/Jnfx8MHl9Qk68YLXjX//4Dx6N1ZsaHi1w69LFfPrHj+HM7oTT56c3fl7m0+umTeTDd/1v3WZZaRncujfSKEBlsYLxtuCtHiS5j84BBlQ1LyJ9wFrAjEIF1BLIqnSw1qPq2xM79iXm6oMTvCznxgq3/aFndvPWG9bEymqn4auXvIXLzzieVRt3xK4I3p1CjHDb3kNM7s1x/X9sLvlePJ2ldVuG+NqvnibXJYzmFQm5xPp6c3z07Pm8a2COvygs/D2FV13naxCUW3jUVJ4fKq90mg/NkJJUTQ8Mj7J5x77AU75zjb05oaAwWsa6BlVqsyBp9lhprCCrlcOtSpJRGFHVPICqviZx6moVIiJvxlkI5/F64DpgBvAxnGI+AJ9X1f+sxzmzotZAViWDtZLZRZQBGckX2LLrQNnFTWl9rl7by8lqh0lKw13QP9XXB4pq0+HR8q4HLSiDETGbpMybMAVVlr31+KLYSLlV17kuYUK38yQfpc+UE0cfKF8ooOroFOXVkX+46M6H6A5LxtbIvzzwNIdC3VVJzOPU42b6328lekZJhYCCBCUwwu67oCZTFBYrqI0ko7BQRB5zXwvwBne7puwjVf09TuU2RCQHbAfuBa4AblPVW6o5bivS7MGZdnYRldqXLxS45ZelQeZyZRLLEbcC+Ykd+zjnTcVPmrX6gbftORgpPBdkOK8cP7uv9HspEz3tycHE7vLZU3HXnC8ot7vBdkf4b0wC47TjZzk3PbdNYzl+wg/X/bHENdObE0SEq9/hxESe3b2ff61QATZsECpl7TNDPLPzVXbsO1SRUVAU1fIGLiyB4a0GjwsaB7FYQW0kGYU/acL5zwf+zw1qN+F0zSWLwZl2dlGikpqnqAxlXKnLytseL6vtUW5ldVo/8NyZk9zavfF3qYk9XfR054q+l4OH82XdJbctXcy8WZNT9kHcNTvnuODEo7jgxKPYtucgh0fzJTOU4MK2MMFVzODMRg9nVGJz1cYdHD09vfrsmHEr396wBIYnKZMWixVUT2L2UXifiBwBDGm5aGN63gfcHdj+hIhcDqwHrlbVkpQNEbkSuBLg2GOPrVMzGkcrD87ZUyYwfVIvvblckTRAVMnNatu9aM40ursoetr1ZLUheWV1pX7gsBGOW9A0d+YkBubN8GsC73r1EHc/kqx7tPCoaanXDkRdc5fAP6zYWLJqedOOV1Id02NktOCXIPVWjY8WConlPsvNnjy8oHnamgnL126pOcDc15NjtFBw1nqUUL7NSe5GixVUR2yNZhE5A7gBeBknwPx94Agc7avLVXV1TScW6cVRX12kqjtFpB/YjTMSrgeOVtUPJx0j6xrNzaRR+izNqAe7anA7n3FvYHktcPOlA77gXlT93WA7PMnnSq472FfBBU1Bl1SaFdITc4IKXHbqPF/0Lq0UQvCaRwsFRgta4mapZmFbdxes/tQ5XHD7b0qMTneX41YKH68n58h2Pzf0Gi8fGOHW+5/2ryWYlusFzdPqFtWKl747Z/pELrxjbUka88PXnp/4nZtERfVUW6P5TuDzwHRgDXChqj4sIgtxnu5rMgrAhcCjqroTwPvrNvjfgftqPP64oZGDvxkurrjZUtzK6r6eHAXUD7JWet3BJ8Soc6dZIb10yVw+ePpxvqhepRlkwfNuffkAn7h7sOQz3szDy1Dy8IKsURIVk3q6eeiZ3SVP6AWFW5cOMG1SD1d855GiBWaqyvwjp/jFit77p3MTHzB2x+gW3fCeE9mx71Bp9leZmUjw+wwbVy99NyqNuZyciklUNIYko9Ctqr8ERwdJVR8GUNWn6uT/fz8B15GIHK2qL7ib78HUlrdsAAAM1ElEQVSp5dDxNGPwN8PFFTWVj1tZHSyvmPa607oRhvYPx0opfOadb6J/2sSiYGa1q8uD590XUgIN09eT45//8i1FxW3i6ikcLhQ4Ykpv5HGmTeph+qRe+nq7i9JRw2nEcW6VcuVV58zs4x2LjirN/irjmrrp0pP8xYtezYRalYZNoqJxJBmF4K81rKVbU0xBRCbjqK7+bWD3TSKy2D32c6H3OpZmDf4s/K9JMheV3IzTzqT8+EXMTe/0+bOKSn9CfTLIomIM4eOFV3x7r6P6Z+FR0yKPM2f6pEgl0TTtTVteNfydlRPc680JhwIL6JLGWSVj0NJOG0eSURgQkVdwpd/d17jbNRW8VdUDwOzQvr+u5ZjjlfE++GuV+kg7kyp30+vJCT3duZL99XCvzZ4ygVuXLvZjDJ6UQ5JYm0dU/2zcurdEXXZij1MrYUF/de1NW1413Kao2UyQkbzypVVP8MWVm9rO7dmpJGUflf5CjKbTrMGfZaGRWqQ+0sykhvYP8+BTLyUuzMt1SayhDd+YIV6yI63Oldd273OVZNHEtTOqpGfa7zNtedWoNkXJWU/oyQUqxaUr+lQprZzZ186ULbJjZE+jB3+rZnGkue5yMwrv2rq7JDKlNLgeI6lfvZtgUl+F3/MqwHltD9/cvdeV9n8ag1mpO9A7ZnGWWKlibRRRBi+qAlyUsa51TFvaaf0xo9AmNGrwt3oWR7nrTrpBxrmMPEMQvmmXI6mvgJL3vGI5ntGJutFX2/+NeFBwHEDir6auhPD3dN7C1/HFlcW5IlHGutUeRAwzCh3PeMjiqCTlNWphXlqS+sp7HfbJl3OdbNtzEA2X6ixoRdlN9WBMen2s/bU8HKQ11q34INLpmFHocMZLIDttyqun7lnNzadcXyXVD44ztFF1qofzyuTe+ob0yrlqPMMWtb/aG3UlxrrdHkTGM9UXljXGBd4T3cSeLqZO6GZiT9e4yeKo97UlHS/43uQJpTf0OEN7YCTPxJ7in6GXSVQvVg5u56wb1/Ch5es468Y1rBrcXvKZyb25EjfbocOFmo3T7CkTGJg3oyRQPh4eRMYrNlMwxnUWR72vLel4wfeiivjEBcqjqNcNMq2r5sBIngk5KZq1TMhFB+drJc61BPFZXUbzMKNgAOM7i6Pe15ZmAdbAvBm+EmolMub1TjlO66qZO3MS0iVF6w0kIU23VqIKMZ114xoLPLcAZhSMppDlOoi01LuNaY3RuxYfwwlHT0tdL6AS0rpqslgM5vWPBZ5bCzMKRsNph/TDLNvYDMHDoNhc3M0+KzeiBZ5bCws0Gw0l+BT46vAohw4X+OxPH2MoRT3lZpFlG5txbvX+r2NbcUQFhhuNBZ5bCzMKRkPxngKDBHP7W4E0bRzaP8zGrXvrbiga3T9j6w+U1w7nGR7VljPK4zkDrh0x95HRUNrhKTCtVEYj3DuN7p92cc2M5wy4dsNmCkZDaYenwKQ2Ntq90+j+aQej7JGF68ooxWYKRsNph6fALFffNrJ/ssgqMtobMwpGU2iHdRBppTIa8aTdyP5pB6NstA7mPuogGhUsHc+0g/srDeaaMdJiM4UOoR3WCrQq9qRtdBJmFDoAWzFaO+3g/jKMemDuow6gHdYKGIbRGphR6ADaKS3RMIxsycwoiMhzIvK4iAyKyHp33ywR+ZWI/MH9OzOr9o0nxkuw1DCMxpN1TOE8Vd0d2L4GeEBVbxCRa9ztz2XTtPGFBUuNVqcdlHQ7gayNQphLgHPd198Ffo0ZhbphwVKjVbHsuNYhy5iCAr8Ukd+JyJXuvn5VfcF9/SLQH/5HInKliKwXkfW7du1qVlsNw2gQ7aCk20lkaRTOVtVTgAuBj4vIOcE3VVWJ0PlV1W+q6hJVXXLkkUc2qamGYTQKy45rLTIzCqq63f37EnAvcBqwU0SOBnD/vpRV+wzDaA6WHddaZGIURGSyiEz1XgPvBDYBq4Bl7seWASuzaJ9hGM3DsuNai6wCzf3AvSLiteGHqrpaRB4BVojIR4DngaUZtc8wjCZi2XGtQyZGQVW3AAMR+4eA85vfIsMwssay41oDW9FsGIZh+JhRMAzDMHzMKBiGYRg+ZhQMwzAMHzMKhmEYho8ZBcMwDMPHjIJhtDhWW9toJq2mkmoYRgBTDzWajc0UDKNFMfVQIwvMKBhGi2LqoUYWmFEwjBbF1EONLDCjYBgtiqmHGllggWbDaGFMPdRoNmYUDKPFMfVQo5mY+8gwDMPwMaNgGIZh+JhRMAzDMHzMKBiGYRg+ZhQMwzAMH1HVrNtQNSKyC3g+63ZUwRHA7qwb0WJYnxRj/VGK9UkxtfTHcap6ZNQbbW0U2hURWa+qS7JuRythfVKM9Ucp1ifFNKo/zH1kGIZh+JhRMAzDMHzMKGTDN7NuQAtifVKM9Ucp1ifFNKQ/LKZgGIZh+NhMwTAMw/Axo2AYhmH4mFFoMCIyT0QeFJHNIvKEiHzK3T9LRH4lIn9w/87Muq3NRERyIrJBRO5zt+eLyDoReUZEfiQivVm3sZmIyAwR+YmIPCUiT4rImZ08RkTk793fyyYRuVtEJnbaGBGRb4vISyKyKbAvckyIwx1u3zwmIqdUe14zCo1nFLhaVU8AzgA+LiInANcAD6jqG4EH3O1O4lPAk4HtG4HbVHUBsAf4SCatyo7bgdWquhAYwOmbjhwjInIM8ElgiaqeCOSA99F5Y+Qu4ILQvrgxcSHwRve/K4FvVHtSMwoNRlVfUNVH3dev4vzYjwEuAb7rfuy7wLuzaWHzEZG5wF8Ay91tAd4G/MT9SKf1x3TgHOBbAKo6oqp76eAxglPrZZKIdAN9wAt02BhR1d8AL4d2x42JS4DvqcPDwAwRObqa85pRaCIicjxwMrAO6FfVF9y3XgT6M2pWFnwd+CzgFSCeDexV1VF3exuO4ewU5gO7gO+4LrXlIjKZDh0jqroduAX4I44x2Af8js4eIx5xY+IYYGvgc1X3jxmFJiEiU4CfAlep6ivB99TJC+6I3GARuQh4SVV/l3VbWohu4BTgG6p6MnCAkKuow8bITJwn3/nAHGAypW6UjqdRY8KMQhMQkR4cg/ADVf2Zu3unN71z/76UVfuazFnAu0TkOeAeHJfA7TjTXa887FxgezbNy4RtwDZVXedu/wTHSHTqGHk78Kyq7lLVw8DPcMZNJ48Rj7gxsR2YF/hc1f1jRqHBuP7ybwFPquqtgbdWAcvc18uAlc1uWxao6rWqOldVj8cJHq5R1Q8CDwKXuh/rmP4AUNUXga0i8mZ31/nAZjp0jOC4jc4QkT739+P1R8eOkQBxY2IVcLmbhXQGsC/gZqoIW9HcYETkbGAt8DhjPvTP48QVVgDH4sh/L1XVcFBpXCMi5wKfVtWLROT1ODOHWcAG4EOqOpxl+5qJiCzGCbz3AluAK3Ae2jpyjIjIV4DLcLL3NgAfxfGRd8wYEZG7gXNxJLJ3Al8Cfk7EmHCN5504brbXgCtUdX1V5zWjYBiGYXiY+8gwDMPwMaNgGIZh+JhRMAzDMHzMKBiGYRg+ZhQMwzAMHzMKRsciInkRGXSVOH8sIn11Pv6vRaSiwuoi8lURebv7+qp6t8kwymFGwehkDqrqYleJcwT4uywbIyI5Vb1OVe93d12FIwZnGE3DjIJhOKwFFrh69T93NekfFpGTAETkyyLyfRH5H1fL/mPu/nO9mhDu9p0i8jfhg4vIN0RkvVsj4CuB/c+JyI0i8ijwVyJyl4hcKiKfxNH9eVCcehwfFpGvB/7dx0Tktob1htGxmFEwOh5XT+dCnFXnXwE2qOpJOCvPvxf46Ek4Wk1nAteJyJwKTvMFVV3iHuPPPGPjMqSqp6jqPd4OVb0D2AGcp6rn4axivdjV0QJnxfO3K7lOw0iDGQWjk5kkIoPAehy9nW8BZwPfB1DVNcBsEZnmfn6lqh5U1d04OjynVXCupe5sYAOwCDgh8N6Pyv1jVd0PrAEuEpGFQI+qPl7B+Q0jFd3lP2IY45aDqro4uMORkIklrAmjONo8wYerieF/JCLzgU8Dp6rqHhG5K/S5Aynbuxxn9vIU8J2U/8YwKsJmCoZRzFrgg+AL9u0O1L+4xK0VPBtHqOwRHFGyE0RkgojMwFH0DDMN58a/T0T6cVxVaXgVmOptuNLa84APAHdXeF2GkQqbKRhGMV8Gvi0ij+GoTS4LvPcYjtvoCOB6Vd0BICIrgE3AszjuoSJUdaOIbMB5wt8K/DZlW74JrBaRHW5cAZzYwmJV3VPphRlGGkwl1TBSICJfBvar6i0Zt+M+nOL1D2TZDmP8Yu4jw2gDRGSGiDyNEwcxg2A0DJspGIZhGD42UzAMwzB8zCgYhmEYPmYUDMMwDB8zCoZhGIaPGQXDMAzD5/8BkZ7GmV8V674AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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utZaaRQUZ1hQY33Er3bkpwWBX2iLokqQfkq92zHCIkNEUplu9ZFbZtAT9tbkpMyIjSMUEaxneFBhfcVKkTo8bJ7FdaYsgJxn6kRQpGzMeCeFbHz0N53VOtd0QvCrlIptHqWVGOHigPLD5iPEVWWioKsmblQtx4yS2K20R5CRDP5IiZWPGwiGcMavVdkPwspSLbB563F4rBw+UB9YU6pRyFfcrVpK/ZPHJmD9jIrb2DmFxx2TLHzSr0hZBlSQHjiYxPDaO8Uxh1dBS51usNO211mJ2353OS/t8Asj/u96DB8oBbwp1SDkjOLSlokNEOKYrnexVsxy1tMVtKxcFvu2o9tqyAoiEgMZoxJP5JlriWNXVnjfVAMCqrnbbMb2218tKhMt8CrKxtetzPJ2BEKJgfS5ZfHLg7mktQUKYFwzz7aREkwGsAXA6AAHgSwDeAPB7AHMA7AGwSggxaDVOV1eX6O7u9nWutcbA0SSW3rLBUOf++RsuKGjA4rUkNnA0KZXk45EQfrm6q8C/4GSOdufyU5IsZXzZtcXCIaxeMhsXLWhD19xEyXMrZu1KXXOrcbVr1dM/ktf+Wptj0uY/+nlo8WJODEBEW4QQXbL3KqUp3AHgcSHESiKKAWgC8G0ATwkhfkRENwK4EcANFZpfzWInEfqlRcgk+ePpDDLZLK667yVPG8BYNcgplVLXR3Zt45ks1mzcjTUbd5eccVzs2nnV/Ec2rjqGEw1ANn8tHG3kP2XfFIhoEoBlAL4AAEKIcQDjRHQpgA/nDvsNgGfAm4LnWNmcy1Ei3GD/zwAjyXTBuYIaZVJMJJUeO1v72hf2YfW5c4oOGy1l7azs9aVqX7K1A5zd+2KuhSmeSkQfzQVwGMCviOhlIlpDRM0A2oQQB3PHHALQJvswEV1JRN1E1H348OEyTbl2sIrgKFeJ8ERLHJMaY4iFC6OFvG4A4zWydbCLpNKjvbZ4RP71M8tEdkKiJY5VZ7UXvObEp6D9vD7Zz4uoJLtoJLN7Hw0TIiEE6jmodRxpCkR0LYBfARiB4gs4A8CNQognizznmQD+hxBiExHdAcVUlEcIIYhI6uwQQtwN4G5A8SkUcf66x0wiLKeE7ncDGD9ojoWltm63ORHqtb3w1gCuvv9lw/tWGcd2EvvA0STWbSksGb6uuw/XLp/nmYTvRntU59scCzvWAPT3HkCgnoNax6n56EtCiDuI6CMAWgF8DsBvARSzKfQB6BNCbMr9vR7KptBPRDOEEAeJaAaAd4oYm3GIzO7ul13Z7Px25/LTN1AMo+MZxMOEZEYui7j1e6xYNBN/2TNQEClklXHsxJ/hdRRRKeNZZTTLfApW9z5Iz0Gt43RToNx/LwbwWyHEDiIiqw+YIYQ4RES9RHSqEOINAMsB7Mz97/MAfpT770PFjM+URjkldLfnqnRUUXtrIyhEgMmmoNeqrMZT37t2+TysPneObT6GU4nda22vmPHUSLPr129DMi3y813X3VfQ5AhgDSCION0UthDRk1D8Ad8iogmASXiAM/4HgPtykUdvA/giFP/GOiL6MoC9AFaVMD5TAuWU0J2ey+/cCifj67UbK2nXajzZeyu7Ogxz0tI3OAaRLdyMRFYYJHavtT2346nXFiIy9MfWNjnSjs8EC0d5CkQUArAYwNtCiCEimgKgXQix3e8JWsF5CvWBXzH0bsY3y7DV/ttJngWAoq6lp38Ef/PTZw2v/8c3lkm1C6+1KifjcY5B9eBFnsISAFuFEKNEdDkUR/EdXk2QYazwuzpmqbkbTiq3aqO4irmW0fEMGqIhw2YyqssQ187Jyx9fJ+OZ5Rg0RcP5irW8IQQfpyGpPwdwjIgWAfgmgLcArPVtVkygqHSnKy/t5LJrcZq74bSGv9l4zbFw0fWOzN4PUsy+7LrjkRB+8bmz8PwNFwS6hDlzAqebQloodqZLAdwlhPgZgOps3cS4wsvKmcXiVd6C2bV4nbshG29VVztW3LURV933cr7ekZtrCWruhhbZHG9buRDL5k0L1DwZa5z6FP4TwONQahSdDyVcdJsQwrsO4EXAPgV/8duWX8x8vKw55KTmk9s1kPkemmNhrLhrY8EYsppPfq2B/jN+R3Fp6xtVa9vPWscLn8InAXwGSr7CISKaBeA2rybIBJOgdboqxU7u5FpKzd0w8z1s6x0ynDsWDmFSY9T19bhdA6+7n7k9X9A73zFGHG0KuY3gQQCn5F56F8C/+TYrJhDIbMTjmSyGx1L5/sfVgl81gVSs8ggqVcvJj+5nbs8X5M53jBxHPgUiugJK5vG/5F46GcCf/JoUEwxkdWjUqqaV8i8US6k2eVlNIC1WvodK+QOc1KzysrZVuWpnMf7i1Hx0FYBzAGwCACHEm0R0km+zYgKDk6qmpfy4lasDHOBvtrbbWk4AsK13yNfrNqvVZDbHUqklzbKecbopJIUQ42plCyKKQGmOw9QB2qqmyXQ6/3qp/oVK2J/9ytZ2U8upXNctq9UUCQEhIsQjYc9rW8kyvmX9Mphg43RT+E8i+jaARiL6WwD/HcAj/k2LCRpe28WLsT97EXnjxbFmx5Xqe/B6s5LVaoqEQwX1h8xqMhWrwfitWTL+43RTuBHAlwG8AuCrAB6DUkKbqRO8rqnjNrKpGOnazWecHusku9lqTcoZ0WV2z0qpwur0vH5olkx5cBp9lAXwy9z/mDrFS5u8G82jWK3C6WecHutFbwFZRrOfdnen98xrDSao3fMYe5xGHy0loj8T0S4iepuIdhPR235PjgkedlE4bsZxGpFTTFSLm884PbaU6Bo1m1qf0VyOiC4n98zryKFqyMBm5Dg1H90D4BsAtgCQV+BiGJc4lWKLkTrdfMbpscVKvzIpPB4J4Z/+2+n45h+2BcLu7odkH8TueYw9TmsfDQsh/n8hxDtCiAH1f77OjKkLnEixxUidbj7j9NhipV+ZFB4LKxVPzfpUlxu/JHuvNEumfDjVFJ4motsA/BFAvjykEOIlX2bFMDqKkTrdfMbpscXMw0wKX9wxOVB2dzfXVs78Eqa8OC2I97TkZSGEuMD7KTmHC+Ix1cLDW/cbooAuWXyy6etBhusbVT9WBfEcbQpBhTcFxksq1QPaj/P6dS1Bq5zLFEfJVVKJqA3ADwHMFEJ8lIjmA1gihLjHw3kyTMUoh/RrlsPgdZa1n9cStMq5jPc4dTT/GsATAGbm/t4F4Ot+TIhhyk0x3dWCiuxarlu/Hc/uOpy/nmI66amfaY6Ffe2Cx1Qep47mqUKIdUT0LQAQQqSJiENTmZqglqRf2bUk01l87bdbkIUoqp+Ck54MxXTBY79EMHG6KYwSUQK5InhEdC6AYd9mxTBlpJQY/aBF4ciuBQCOpRQZzm0/BVmOxbruPsv6SfrPy7rZucmeDtoa1zpON4VvAngYwPuJ6HkA0wCs9G1WDFNGiq3rFERpV3stISIcG7dW6O00IjMtanQ8g0Udky3HNlsfN5pZENe41nFa+2gLEf0VgFMBEIA3hBApX2fGMGXErt+BrM9xJbqMyXpAy6q1zp8xERt7DuOHj70Gq33BSiMyq9VUbBa320503MmtMjiNPtoO4AEAvxdCvOXvlBimMpj1O5DZ0Gcnmsvuh9DO63g6AyEEGqMRgwStPU6AEAmdOM6pP0A7hlqrSXsuJ1ncIlsY7i6yAn2DY1jUMdmRZlZLvp5qwqn56O8AfBLAOiLKAvg9gHVCiH2+zYxhXOBEgnY6jl1f4+vWb8dPPrGwKAm6WGTzAow1kwBI6yz97LNnYsHMiUi0xHHt8nmuez7ox7CjORYuaO4DAMmMQHNMKevhJHuaK61WBqfmo70AbgVwKxGdAuA7AG4BELb8IMOUAacStBNk0qmeZDqL69e/UpQEXSx289LWTNIfFwuHMKkxmp9bMT0f9GPYMTqeQUM0ZEhyG9XYsuzm4XUPD8YZTjUFENFsKNrCJ6FUSr3er0kx/lMrER1OJWin12gWvaNHjebRS9B+ravdvLQStF2fZLs5eiGhmx3rVsrnSqvlx6lPYROAKIA/APiEEIJ7KVQxtRTR4VSCdvpjIpNOVTu8LJpHK0H7ua76eR1LZZDR2OxXdbXnr9GqT7KTPAUvJHQvpXyvM74Za5wWxDtVCPFGGebjCq595B4va9dUqlaQ/hj99WiJR0L45eoux7Zws3MPHE2e6DucPvGdUdcOQNHr6raPtNU8tLkAsuP0WM3Ral7F9rN2Wv+pVjTZoFJ07SMiulwI8TsAHyOij+nfF0L8s0dzZMqEVxEdfmsbTsfXS6Ran4JeSnYzR710mmiJY9m8k3DbykVS6Xdb71BR6+p2HRMtzvofmx2nx2qOZhK6mzlrxzD7nJNor2rVZKsRO/NRc+6/sk7fJZVXJaIwgG4A+4UQK4hoLpSw1wSUDm+fE0KMl3IOxogX9mIn8eOlSHpux5flGOSlZI+7mqk5AFt7h7C4YzI625SvRjHranad82dMtMwWLqVTnB63/ga39wZQBJHmWNj0Wp1Ee01uirnW9pjisNwUhBD/kvvv9/XvEVGpBfGuBfAagIm5v28B8FMhxANE9AsAXwbw8xLPwejwwtZrp22UqkUUO772GpxI08VgdW6362rmD7n4zucQj4Qtbf6rutrzP55AoU9Be5yZf6RYf4Obe6PV2pKZLEhnqo6GQtjaO2S75traTaw1+I/j6CMJ/xPA7cV8kIjaAXwMwP8B8D+JiABcAOAzuUN+A+Am8KbgC6VGdFhJql5koXoxvh8x7nbndruusjmqPonxjLl2M3A0iXXdfQWfW9fdh2uXzzOcUzana5fPk2pSTuoiub03wInx9aSyWcxJNJn6g7So0V6c0ew/Tktny6ASPns7lJBW9WlIABgSQqhPTx8AqThARFcSUTcRdR8+fLiEKdQ3iZbie+eqEqisn6+sH7HbvsNejK+OEY+E0BQLIx4x9hx2U7p54GgST7/+DsJU+Njrz+1mXfXXGYuEEA9bjw/Iez5brbF+Tlp/gxVW66q9N99ZMR99g2PYceA9w7y0NERDiIWp4J5GI2HDNUdCQDRMiEeMY1Wqh3U9UYqmUJRPgYhWAHgnV0/pw65PKsTdAO4GlOijYubAlI6ZVOyVhO7F+EL9f0HQP65uTFzqsZEQFSRfFXttWrTX2RwLY8VdGwFNJrCZr2AsVSh9j6XSrvMI7PwNZtemnfOr+4fxg0d3IhoKYTyTRcZmzMeuOb/AXzJwNImMzqyUFUCEBEJklDvdXifjHktNgYhGiOg9yf9GcKLhjluWAriEiPZAcSxfAOAOAJOJSN2k2gHsL3L8ilDLDUPMrk0mFVtJ+W5xM/7g6DjWd/eip38kP+cbHtyOZFrgWCqDZFrkG+e4aaqjPfZo8sSG0BgJIR6hoq+tp3+kYL4A0Nocc7x2pPvB1P9theoI/s7H5heca/WSWY7vW6IljvbWRvzg33fm1zGZzoKIEI8o2kA0TIiEUDBeZ9sEwz3Vzz0rgPEMMCYxK7m5TqY47BzNsqijkhBCfAvAtwAgpyn8gxDis0T0ByjluB8A8HkAD3l9br+opWQwPcVcm99ZqPrx7/iPXbjmga3591cvmYXLzuwwLcgGGEtBmDmhzZzByl/F/UB990+vYO2LJ5zEBKAlfqJUxvM3XGC5dn2DY2iIhJHKnNAWGiJhR050/f38zor5OH3mpAJ/g9P7JlubhkgYP/vsGZjUGHNUh0p2LVY4vU6meErxKXjNDVCczj1QfAxV0f+5llo56vHr2rSaR7EalqpFDI6OF/zAAorD9C+7B6QF2VLpjKty0GZmlmQ6i2TafavLnv4Rw3wFULC+AEz9Ek7LWT+18xBuWL8NT+08VPBZ/f38waM7i964zUx5C2ZOcuxXcVpWRDu+XZhvrWrs5aIUn0LJCCGeAfBM7t9vAzinkvMphlou71vstVlpF14WrwNgGtJ46xPGBPxomPCZNZsQj4QdF7OThX9qcdvq0i4E02p9C9ZVt+GdPbs1/5kLf/oMdvWPAgB+392HU9ua8cQ3Pux5KLFdGK6T8WTra/QAnUAWeitdnxrT2MtJRTeFWqCWy/t6mZBlVtYZKC25bLFJ9y/9j6b2NTXc06ocdE//CLb2DmFOoskQ/itFHgsAACAASURBVKnHTatLs/nm52iyvmbhnirP9QzgqZ2H8HzPu/kNQeWN/lE8tfMQFs9qdRVOqk0aGxwdL0jYU/0SSzun4tGrzzMk8zlJzAOUJMPfb+4tmJNV9IhZ6C035PEO3hRKxMvCX0HDq4Qsq7LOWorRsDrbJuD8zgSe6xkwPaYpGkZaCGQyWRTsFUJIy0Hrbf7hIn2bmZwPQzt+Z9sErF4yyyAZa30KZrZ3vY9Ez5fXbjF978md/Vg+f7rp/dwm0WBULSiZyRYU3zu/M4HNewcttT27xDz1c7FI2FCbqSEaQjYrEAmHDAUI3fh+akVjLze8KXhAkMr7el1IzKysgxl22oXT8s92qNfZHAtj895B0+PikRB+8bmz0BQNYeW/vFjwnrbpizrmC28NGGz+EqXDEamMwM4Dw4Z7cfOlH8QlC2fi2TffxbJTFA1K/XfX3IR0LFnTGjd0ntSCgaNJ07ajqXRGmkSmakFa1A3YSttzkpgHAGmTXqGPXXM+DgyPGQr6ufH91IrGXm54U/AIs+Jh5cQPm6rXdmaZ/dhOSraak6x8AqBoB2pZhGXzpmFb75Bl0xd1TDPbhep/0JesVud/PJ2Rmqxuengnvv/oTlO/ys+eeSs/3p0berB6ySzcfOkHDePImta44c6nevCTP+8qKMuhX8cwFb8BqqjSub7lZjKTRSqdtTQNae9ZZ9sEdLZNMC1AqKeWNfZyw5tCjeClTVUrhRczppnmJCvPEHPZ5tHOtg6c0A60Y0qT2wQwPJZCT/9IfkwzHrjiXBxLZXDF2m5kNIep85dpIgCQzGSBjL1fRWXtC/uw+tw5Bo2sGIn3gtOm4tk33kVaFEryMyc14NUDw/jhY69hPAPTdSwGrXSu1TIjIeDr67ZbfvYbf3sK/tuZhY5kN5pqkDT2aoY3hRrBj5LYyUwWmUzhD4aQ2MllyDQnL9o8ykocRMMEAgqKyC2bN80wH7PmM8lMFlkLs9bqJbPQNTeBbb1DueQpjaZAwKTGKBZ1TLb1bahzz9j4Brb2Dhl+/LTzlzX7CZGS9KWd82VnduC/3jqCtGazS6Wz0s0LUNZRpu3oCRMQDlGBb0AWxaWPNLNj5Hja8BwUo6nyZlAavCnUCH6VxNajt8O7GdtNfoCMnv4RbHzzsEGiT2UE1n/1XEQj4QI7uT55SpUkZcXgZFx34Tx8ZMH0fLRN75FjhnMfT2XRHAtj4GjS0rehHjd0bNz2h9csQskwf42tPRYJ4WefPgPb+obzvome/hHDfK1O7WRDAICo7lyTm2KGyKQdB4Zx/fptSKaFY01kxqSGfAlvgCOKKgVvCjWCXyWx9eibrztBK+0V2+xeHxGkJR4mRCNhLOqY7CgPYlJjzCDx6wkTcN4p09DZNiE/pqwWTzys1EMaHbeODlKP2zNwzPI6z+9MWJpIEi3yZj+rutpx1f0vIxoK4e7n3satly3E7EQzIiEg7dA6ZL0iJ2z+Z89uzUc63bmhp8AvpG1dqo8qsvNZ/PCx1wv8L7KIK6eaKlM8vCnUEH6UxDY7zikyac8qP0DWoCWVzphuCABAIXJUulmVMptjYVuHbUYgrwFY+huIMDyWQlM0ZBkdpM4xZWNG2bx3ED39I/lY/t2HjxZEJmnzA9RyGGohPb1E/bsvneN4QwCsNwSrKC41IxuAaZIfoKzpPavPwuCxFBZ3TMbQsXE8sfMQfv38HqSy8vsky0ovRlNlnMObQo1Rik010RLHqrPaC36AtTHpXmkfZn4EMynfzh6tZrnKWmJq0eZLxMNk+SOuakRmGkBTVPFfaP0SMqlcG1Gjlv62kpgzWZGP5R8dT+f9BHdu6MGpbc3Ye2TMYF83awW6Z+CYrfTvlHPmtGLZvGlY391rf7AJ8TBh6oQGLJ8//cQ8I2E88Jc+pJLGZkgALCPGGH/gTaGOkEnhhuigLYXRQZv3DuLRq8+zbA8pG99tqWu3DVq0qFmudpqO9rwUso+/bG9txODouHTz+M6KD+CmR3ZY+iVkUVDNsbAju/64pEDcG7lMZb193WyNW5uinmwIgJKb8Oi2A5iTaCp6DAoRmmPhvL9HrbTq1hfGuQf+wptCneDE1m4WwTQ6nsEim/IMpbaptMvYtZN4ZbHxVpExVm0qtcf2DY4ZonKiYUI0HDK0+1Qzca2ioEbHM7ZailPMcgLUcw8eS5V8Di3fXLcNFAJObWvOb1B6rN47e3YrVty10fCMWD0fnHtQfnhTqAOc2tqLjWDyok2lXcau1U+oGtkDGP0q+po9KrL4d1nZ6OZY2BCVk8oIzEk0SbUSbRMZtceDNipneGy8tJ6F2nmY5ASo5+vebR4eWwxqzoXZjz5g/Z4+E1p9RqxyETj3oPzwplAH2EUV2UmcxdTV1+dI2Pk6SsnYVSN7VNRzOa3Wqtds9PPS+woiIcUWLlsr9QdNHy2l9c1oI7D0vhOnYaFAYcVQ2fXMTjRLNaxYmKR1hcqN+oxs7HnXMheBcw/KC28KNYBdvSMntnbV1quNanEqmTnRMNSqo2ZZqaXYidXIHi1uq7XqK3hqNQW98zidBTa+eRgfWTBdulayngl6KVkbgQUoG+u7I8cti9rpUX0psuu5bv12fPacDqmG9fPPnoloJGTIdSg345kseo+MGvIZSslF8Lr2Vz3Cm0KV47RmvZWtfVVXu9TW6xQ7v4FeapbV97Gao5pxbBfZo6WYaq1q1I92Dcx8ALc9uQu3PblLei12PRMAYwSWGj0lk+zVKq8kRME8rK4nmc7i3v/aKz334LEUVnZ14JNdHZahvnri4RAopPgGzDK3VY1ICGUOerQaUiabxfUPvmLYmIqtbsr9FLyBN4Uqxk3Gp6w6plWMu1tJzcz2K5Oa176wD+fMSWDJ+xOGOjdWc0xrtBF9ZI9eQjTTXppjYRwYHjNkVusreGr9LFaRSrJrseuZoJwni5f3DaI5Fs5rTs2xsFSyv3XlQpw2fQJW3LWxYB5Oq8/qWdwxWRppZsdPVi06MQ8TNu8dxO++dA427T6C257cZXj/xysXYsfB9/Dr5/cgnZVXSS2muilnP3sHbwpVjKwOkPq6WSVJ7etmsf3FSmoy26+Z1KxGstjZj9V/d81uxUaNdKrGzQPmEqK+Iqs2+kVr11crrcqkcK2fxUz61V9LZ9sEnNeZKJivNsfgWCqDZDqLmx7ZCeCE5jQ6npFGOnVMaUJn2wRHUTpmc1RZvWQWOtsmYFvvEJIu/DfndyawYtFM21wQAPnuduEQFdR5OrWt2bIonpXmZ4fb7wJjDm8KVYwsM1cbieMEv+vQm8W166uHanMlZNrGRp254rmeAfT0j6C1OWbqH9BXZDWz68+c1GAphasazL+91If//djrltcyf8ZEHBgew+Y9RwqO2XtkDD/6+9Px+I5+PL6jv+A9tTKqWaSTNrLKLkrnzzsO4cZ/e9UwxwtOnYrPfmh2PnHs3ZHjrnIYNu8dxMDRpK1/Sq9xxSMhfOujp6GjtdHSXyLL6XCDF98FRiFU6QkwxaPau7XoI3HsUG35DdEQJsQjaIiGPI0Fj0bCiFq0LlNr2QCKxL/0lg24fM0mLL1lAx7euh+AubaxtXco7zsoOGcohK29Q7adytQKp6oUbrUGiZY4JjfFbK/34jufw9d+95LBTp5KZ/H1ddsNG4L2Wuzu50Nb92PFXRvx/Ud2YsVdG/Pro53jB2ZOknaK2/DGu/jy2i347kOvAAC29Q3bXosWbc2hVWe1mx6nPzURcMasVtOciXg4hIZoCLetVHI6in3uvPguMAqsKVQJZtnCenu3LBLHDrtYcLtMaCvaWxsRDpmXZFZr2Vj1CDbTNhqiYUW6lmg6cxJNtglix1NZ9B45VlBB1era7HwFJ6Rk4w+RXaTpnEST5f10YjNX8yAiYULGJKpI1UqWnTIVd27osZ6UBu19svJF6M+qSutm9/CmS+bjwgXTi94MtL0/vPguMLwpVAWlZgs7wSwW3EkmtN24+npKWrQ1hmQRNF/77RZkIQy9CgjAt/74imk2cjQSdpT3cP367Xk7tixPQYusv7KWYjuXERSNKtESN/hBtHWdZKjSu/Y+2RXB29o7hJVdHZg+MYZD7407mmOIYHqf7BgdzyAaCUvzPebPnFT0hqD/XphlpTPu4E0h4JSSLWwVs22XN2B2bsCYCW1XD8kuysUqgkbtEbx57yDWf/Xcgo5h6jzWdfcZ6jMNHE1anlM/vtNIlZsv/SBWnzsHG3sO5+ehUmzlCoETFVn1fhA1F8HMZt575Ji0Q54VcxJNeHTbAccbAqA08EmlM5g7rcVVpBOg+C8Wz2pFJBwqiCALh0IYHksV9FCQIXuOZc+m7Dlg3MObQsApNlvYKmbbSd6A2bm1OIlSMhtDFmli1VksGgohGgnjjFlTEAqFAF1HOH19pkRLHLOnNBaUXZgxMYbBsbR0fHWuTn5IOtsmYHQ8Y5iH2gFOli1sVbtJ25PBKrdCli9x/frt+RwGJ5za1ozL7/1LUaVT9wwcQ9fcRP4+ZbMC4w52wm19w1g+f7pBCxpPKxVmrbROs+fYrNeCkzpdjDW8KQQUra3UbXSQlXYxODouzRu4ZOHMfOcyqwqnVvNwWiVVG2kCnOiSZtVZTM0xeP2QsZvY8VQWqXSmoNvan3ccMtThOfjeOO5ZfRbGUllcff/LlmPY+VVkXdjUDnCH3ksaxhcAbl91IkZf+1Gt7dvqXsvyJVRNxylWtYnsUH0qdpFOeiY0RNDTP2LQgrR9GK5bvx1HRsdxXufUvOZq9Ryb9VqwuoeMM3hTCCCl2kqttIs3+0ekn/nUL180+ArsMqHN+vE68XssmzfN9DNmncVW3LVR2v0sEjoRG6/OUXYckJNaP9BmsG+H6MQYVnWS1PFjEWOoo9oBrmNKkzTfYO60Cfj4mR1IprIFG7O2hpGTXASZpkO5cxCRZZ6CFTMmxnDQxKSk5jeoJFri+NSHZuNX/7XbdqP56Z/fxG1P7rLUZmR5G3ZZ6TLty+weMs7hTaFI/KqxUqqt1K4XslncdlrS+UrmswDkfRjc+j3cfEabdW02d0DoehDIf4CWnTJVWs8oK4DxjDBkNAPGukKAPBOXQoRUOoNNu4+Y5hvIfCyq38BsvbWa1MxJDXhg8z6sf+lAwRgCSk2jwyNJR9K7jMGxNNZ/9VzsGTiW74ymdn2bO62lQAJX+zDbtRcF3GszaoSUVQ7N7sNHpXdYdg/dfj/rvX4SbwpF4GeNFa96Gpj1Qk60xA0RNPqoGTufhZs6Q2Zj9A2OFWS7AkrXMdlnzLJozWoCmXF+ZwJdcxPY1jtk29Mgncla1knSz0PtXaxvVakS1kTv2PUdNqvyalVzCFBqGn1g5iRXfZm1qH6blV0dBef++X++ZaiVZdaH2XJ8C5+LHjVCykxzevr1dxxdj9uMZq6fxJuCa/yusVJMhrEqtemrTZr1QlYjaLb2DmFOogmX3/sXZDRSuNOM5lL8HilJmehUzibsZHzVLyHLRtYSC4eweslsXLSgDV1zE+jePYAndh5C1sYxm846j7a5deVCTJ8YN90QAGV6qXQGh95LSm3hG988nK+DZHY/rTYEAGhtimJ4bBzhECFtk7gnQ/XbPLvrHcO5AWd9mC3Hz/lcjqUythVa9f4LvZaZztjvem4z87l+kgJvCi5xIhWXgtvcA1WykUptQkh7IQNKBI1qIzaLjbeiVL+HmdlBjXBxMr5a+8jO76FKepevedFQLmNC3LyPgToX/fpoiYSAjilNpr4alWiY8Jk1mxAJy4sIqFVX1SqjbqVwAPj/7nsJ8UjYtF+Dfh2PpTIF2ppaG6qYc6tY+SVUn8uyuYkCn5G2FzWgaHR6/4XedyXzGal+Fa1Pwc130u/vdrXAm4JL/K4VBDjvNqWVbGSoWaja46V9mU1i452c18zvAcAykqchKvdtzEk0SSVVq/H167X78NG8LbxrbgIA0L17wLAhAIpT88xZrdK6PA3RsDRqRks6q0Qi2fUuPtF72dpsYqcNWKG1p2u1RH33uWuXz8tHeGkF7lLOrWK2IQCFUVZWkWZqnSV9PSxtPoYM1a8yeCxlmX9jRjm+29UAbwou8TKL2O48dmPa9TVWs4UB63hvt9KRnd/DacczfRXN8zsTuPzev0glVSfjJ1riBTkYd27oyUeyPPvmu9JrufvZ3QiH95hmTKsVVK1Qs6JlY7TE5VVYARgilMzQ+iyc/nAn01lMaoyadjWb1Bgz9Ji2Q+2noGobdhVZ9eg10ERLXDoP7fOnvdd29yISOqEt+dEXpF4o+6ZARB0A1gJog7K53y2EuIOIpgD4PYA5APYAWCWEGCz3/JwQlL6xtn2NBTA8lkJP/4iprVQmHY1nspaZplYSlduOZ6rNf8n7puCq+182lQKdjG+Wg3HOnAQWtU8yGVcglRXYvHcQt69aiGd2Hcaj2w4iLU7Y0O3QZ12r0TutzbGC6Cmt3yMeCeG6C+dJq65qiUdCuP6iU/Px+z39I/jXTXtNG+ho2bDzIP5l4x7DWjXHwnhx9wCOp5xvCEBhnaJrl88zrRprxrruPqw+d05BFJ3bZ8kKfRSal31B6olKaAppAN8UQrxERBMAbCGiPwP4AoCnhBA/IqIbAdwI4IYKzM8RTiR5vzHra9wUVSSlTFbJGJVJWGZ9mdWOWFaZprJ6RtoaPVax5XrNZjyTxb9u2oe1L+5FRuI81Gc+b5NUP1Wjd8zs+mq/A6taP2oVUxkN0RCyWVGQBxGLhKURNGr0jor6jOjX65Nnt+PsuQmDthAiFNjXx9NZ/OTJXfjR46/n78V3Lzkd9/9lH8Zs7P5Pvn7YcC9S6azBVGblV9HOS1unyGnVWD2y7nZm0rnsWZLdC7ueGG6/p0H4bleSsm8KQoiDAA7m/j1CRK8BOBnApQA+nDvsNwCeQYA3hSAgs3XGIyHcuvKD+OYftiGZMZd2Zf0C8vbdjHV9I6tYe6uOZ68fGpFqNlZx7LeuXFjQ1cwsk9WqEqfa7+BQytzebWfFeeya8/MS7uDoOJ7YccjQWcwsK1q2Xg/8pQ/ZrFDUOQ16a6A261ft19C954jthgAAH184Az/VVUKVXee3Lz4Np5zUYhk9lRUwREiZ+YXM0Pda0GYxy3pdm2XUa+8FAFNtrB79AV5QUZ8CEc0BcAaATQDachsGAByCYl6SfeZKAFcCwKxZs/yfZIAxs4F2TGk22Gm1EpbMVurEvqti5YfQax522chWqJE92nObdSdTK3Fa1Rhyi2pDv/WyhXmnpVX0i1lWtGy9xjNZ/G5Tb/7vCRa+B5VUOouL73zO0dwnNYTx1b8+BfvfO24bQnpw+Dg+/aHZBp+IHn2ElMwvZIU+H0aWxazF7PnWO5CdZIMzzqnYpkBELQAeBPB1IcR7pPmSCSEEEUmfNCHE3QDuBoCuri6vvv9Vi1kct52E5dZX4OS45lgY23qHsLRzKh69+ryCPAi7EtYy0lkURE/19I9g45uHTfMbDr2X9GxDAIBrlnfiIwumS2vxyDDLirarIQUo0vrZc6ZY5lxkBJCxUGlWnjED3fuGcenC6fjGRz4gjSyTodYm2rzXmQtP38EuGiYseV8CS983Bf/0hLEvs3b+ZqhZzNq17hscK3iWZBFF2og6q2xwwF0fkHqmIpsCEUWhbAj3CSH+mHu5n4hmCCEOEtEMAPYpiwwAecaxEwlLNo4TaUtW91/b/1hv601JIlRUv4f2uGw2W5CJq42e0ld21UKAZQ5AUzSM8UzWMqFLpmH84j/fxv99useyMqcVqXQ2rz1Z9ZQAFGld24fZbWTPpIYw1r+sKNp3PP02Bo+ncdmZHY56HzipTWRFKiPw7JvvmkZ4qdhpcVt7h9DZNsFxDw+rKLRS+4DUM5WIPiIA9wB4TQjxz5q3HgbweQA/yv33oXLPrRyUq66K2ygKrWSmt+/q5yyTQPXSI2AdvfPFpbPx92cobR21GoW23r4aPdW9e8DyB1VAldCNvgk18zmVzlj2CJb9WGlt+TMnNWDT7iOOymmoZATw5I6DSKUztj0l1OioSxafjOZYGL9+fg+ee8t53sDw8cJrX/vCPnxg+kTbvAjAfW2iYrFbOTUvxEkPD8AYyWZXr8pNH5B6phKawlIAnwPwChFtzb32bSibwToi+jKAvQBWVWBuvlLuuipOoyic5hWo781ONLvuvqVnzXN7cPdzuwskOH0cvlpv/3i6+B+tT57dns98PrWtuajS0ZmssHTCWvGzZ97Gz5552/KYMAFTJzQAkGddF8tND+9EyoVmo9YmAuCoT4JTmqJhJNNZZGw0ESd5Idqe3lZRbnbPZ71lKbuhEtFHG2Hs762yvJxzkVHO6qeVlFhkWaL63sgzJzVI3/vJJxY6kkCtSGaMEpzeyamNvCkWNSoKAPYeGStqDCcJZqUQCYfw8r5B7D484tmGABSusRNSGYHbVy3EU6+9g0deOeTZPL64dDYmxiOW/gbA2b1WI81am2Omfq0Dw2OWz6faN5qRwxnNGipR/bQSEotdlqjaG1nW0SuZzuL69a8U1NeR+QOAEzkGs6Y0YlcJzV0AY/y+nkgI0twBqxyJoKCNwrEiBJSgm9lDgGmuRimseW4PhIvAMzVSTlZNVY0062wz+r/UKDe7PtVqxVpGDm8KOYJY/dQpbrQbp1miVnZm9T21vo5aqVTrDzBUMS0Ru9/zB66QV99Us7OboiFX/oAg4tWGcO1fvw9vvDOKx3f0F7zu1+q41VgA4F+/8iFs2n3EkAui9qUACv1m2p4bdmZNtWJtNXdo89M3yZtCjqBVP3WKW+1GlZq1WNW5t3ovFg5hUmO0IGpGX8XUrBeCDG2VS23EiF227eols/KF77TVN7XZ2cX8MNUqdzxt7ePwixABkZCiMlj5LM6e3ZqvgaUnEiqU8u16bshQK9ZWa4c2v32TvCnkCFL1U8CZJFCMdtMcC7vqLazamWW9hfVZ0fNnTDTEkzuJ0VcRAL77sQ/glQPv4cL5bZidaMbW3iG0NkWlkUMXLTgJnzirA8vnT0dP/0j+3I9efR429hzGDx97Dals6X4JxhuyQqliuvvdUcuaSVYJdGqfC72U7+Y5O1Gxtvqikcrhm+RNIUeQqp86lQRkUr/6utk5Rsczhq5j2t7C+vdCVGhnVit/uunRrI/RJwCNMXntoP/1sGJb/30u5HVC7lyyyKHHd7yDx3e8Y3hPHb/WzMZRAlLVbQHD4LEUzp6bKDrzXM1J0Uv5stwZ9Vn1q0ZSJSiHb5I3BQ2lVEj0ysZnJgnMnNSQr76pSuEyqd8usqK9tREUKqw3QCHKR23o48JktXi+9lfvw0cWTEdrcwzbeodsI5j0MfrRcAjLT52KR14ptGnLUKV8q1BS/XsCsG33WI1U+4YAKP0y2lsbEZcUcnTCiZyUwvpJp8+caMidiUl6Sqj5MNVaI6kcFg3eFHQUUyHRSxufTBLQx8mrdWLMpH6ryAqZ5K7NRnaSRHvnUz24/ak3DdKXFqsIpvFM1tGGwNQe0UhYqbDaGLEsUOgUbeRWWCfQqD4vfU8JfT6Mk06DQaEcFg3eFErEaxufVBLQOeXUOjFmUr9dP2e95C7LRrZClmMgo1yZskz1sPvwCN4dOW5awrwU9L5rNW9B//3U+yzsOg0GDb97PsiLxTBSBo4msa13CANHk/nXVMleizY23u14qiTQEA1hQjyCqF78yfHwtgMAUHBsQzSE76yYj77BMQwcTTqerxVm59fTEA0hFiY0SUxX6nvxiD+P26ltzb6Myxil71J5eNsB/PjP1klspRAJoeC7sLV3CGGb6rxOv69BItESx6KOyb5sZKwpOMTMRFSsjc/K5KSVBFLpjLTEwprn3sbdz72NWy9bmK9V9Or+Yfzg0Z2WRcDaWxsx5qLjVjhEuP8rH8KrB4bxw8des3TePnbN+TgwPIYv/GpzgS8ilRF44trz8fqhEUN0UynEQgSQwEkTGooqX8HY43Vqx4Y3rIvmlcoDV5yLaCSc/y5EQtbmVKC6fArlgDUFB2hNRCPJNI6nsrj+we35dpV6aV1v4+vpH8H67l705DqDWY2nokoCc6e1SGuCHEtl858bHB3H8Ng4bn50R37MVEYgnQvHVI/r6R/BjgPDhrHCIUI8QnnNJExKNnI8Qrj1soWYO60FZ8yagu/93ekFGoxWKrv1soUYOjaOJ3f0G5zTmazA0LFxTGyMmNY3USE4fyjHswLjGXkIo9cSLuM/BKCU4hMhAuZOa0F7ayN+8O87cTyVxdHkiQ2hMRJCPEJYvWSWqXbNsKbgCLswMCsbn77k8+ols6Qljc3CyvoGx9ASj1ja7i++8zlEwiFDs3stmazIH6d3JkfDhLs/dxYmNcbw6v5h3PzozlydY0L33iMFTq3vrJiP02dOMtSov/aBly3r9nzqly8iFgnbhiEKeJNZW+XJy3WJAFCKFyoaorwZSNb4R3nsCV2zp+Da5fMM2nU1JrL5AWsKDnBiIpLZ+Hr6R6SN5FPpjGOTk11SzvFUFuMZYRuCmcoI0+OOp7KYOakxL2El01kcG88gmc5i7Qv7CjSaHzy607Dxbd03aFvILZ2tzTBRJjioxfJSJhnwyXRWqd31oJJ3o9UozDR2P5D5+oIEawoOKDYMbGvvkPT1PQPHHI+nP7ddIg6g1B1y06BFLRA2Oj4mbYijp29wrCDMb4yjjJgAoDZl2jNwzPI4qxLbfieylbt8fjHU5aZQTKKZVas/szEWd0yWvt4QDWPJ+xOWbQbtzm3WrDweCeEr582xreGvRS0Q1vPOUVuzy/FUFjsPDOOmR3YgmRYl9VRgGK9JpTN4ae8R62M0WrnfiWBaglY+34y62xRK2anVxDanY3S2TcDqJbMMqfff+uMrrlsEylpuAjBoEZlsFr/6r70OV0NBLRAmK0Am46ZHdlr6LximEsTDZNkMKRoihMNUoJXr5ld5jAAADwNJREFUEzn9TGQLUvl8K0gU2Zc1CHR1dYnu7m7Hxw8cTWLpLRsK0usboiE8evV5lg3tnYzx/A0X5D+r10R6+kfyBdrMzOr6MdwwcDSJHQeGDWWjGYY5wT/9/em4cMH0fEtZ2XfG7e+BG5z8duiP9ytBjYi2CCG6ZO/VlaYg26kBJXrHaRldu93eTIsYHc8gHonka7boKUViSLTEMakxZhm2Iysa1xI390uozJgYw0Efsk/d4neDGaa2mTExhk9/aDaAE9aCEJFUiHLze+AGN77JSvoe6mpTkEXyqLu20zK6VpFIVjZDuygiNSW/2MYfzbGwZRMZfXJXTNcgx8yZEIQNAeANgSmNg++No6d/BK3Nsfx3VIbb3wO3mJWY11Jp30NdhaTqE81ikRDiuiwnu5R3q2Q1q5IXsvIV2uQvtZXg5Ws2YektG/Dw1v2urm10PIOGqPPbqW+Q0xANSUtUOOX8zoT02pyWyQgCBCBWRfNl3LG1d8i0zEtTNFzU74FbHtq6Hyvu2ojvP7ITK+7aKP2el1I6xwvqSlMA5C383JbRddNQRt+IxiqKSFZ6esHMiXkbqJV90W3EhGxeL7w1UHQZis17Bwtsseq1mZXpCCJfWTob+46M4YnX3qn0VBgXXLTgJFy0YDpu/LdXLctxq2W79d/ReCSE6y86FafPnOhrWW2nGkA5ymNbUXebAlAYyVNM/oFVQxm78WRRRLJWgmrp6SwEVnW1Y113n6V90SqfQW1qrh9DP4+OKU0IU3HZwCIrMDqewSJNGK46vj4Cy2u8aj7zy+fdRW0xweDZXQN4Zte7hpLYWqK5RlKy70kmm8VPntzl6HtSCk6jj8rV8MuMuoo+MsNt43u30UdOzq8f0wqnEQsACuZhNa+Bo8mSNAUA+I9vLDPNt+jpH8ETOw4ZGrEDwHUXzsNp0ydIW24yjBfIvqMcfcTRR6a4aazjZLd326hHKxmEiGzLQVhFKpnlM1jNSxuNocep5qBmk5rR2TYBo+MZ3PnUm4amQOedMg2LOibjvM6EbbkMpr45vzOBzXsHHX1PtOjzD9SIvVg4jGT6RERgNBQyaLxe4VYDKKbhlxfwpuASv+x9ql3fSb6BX3ZOGW5MSXZzkjUFAhGGx1Lo6R9B995B5ydj6pLNewfxuy+d46iUuxZZI51K2O79bpDjBXUVfeQFTkpllzL2snkn4baViwrG15f69cPOqccsGkN2nNM5ySKwMtksrrrvJVz8fzdCSCpbFousoU+9xRV5EfkV9vAXws1sQoBpNNxn1mzCT558EwKFEXzq90T2OVn0jp/fZSv8bJDjBexTKBK3fgi3koH+M37ZF2V2zngkhF+u7srnMJhpEepxaoSUm3P6nYH9T39/er4+k1NuX7UQQ2MpVxJoKXz67Hbcv7nP/kANt69aiB0H38Ovn98DOxfU15d34vanemzH/NsPnISPfXA6vr5uu+G9f7z4NPyfx153NUc9F59+Er609H24/N6/OPab3b5qIaa0xG2fkXgkhG999DSc1zkVnW0TLH0FlbDdBxUrnwJrCkXidLd/aOt+LL1lg+v8A/34fkkXMmnptpULsWzetIIcBlluhXqc2zlp7blarFp6hnRiJgH5XBO9QBwPE+bPnFSgccmO0xINE+ZOm4AvLH0ffvyJxQXrcX5nwnDuUnI6AMVXc9bsKa6aAa1eMgsfP7MD//ixBfjJqsUF16Zfn2iY0N7aBCcdUD8wYyI+fmYHVi+ZZTjfFcveb3jdrQIyoSGGrrkJdM1udXT8jIkxfPzMDoPWLNNck+ksbn38jXzMv5m2bWe7D7LkXm7Yp+Ajlc5MdIqVnVP/3uDouKPKrnaYZXg/do28bWdWAPesPguDx1JY3DEZrc2xghyPjEYCpRChvbURizom27Y1VQnnPmO2Hj39I/nrbm2OlazpZIQSNx+NhArmLuO6C+fhIwumF6y3LN9GK4WHQ4Q5iSZDQyUZi9onAQBuvvSDWH3uHMP9vfnSD+KShTPx7JvvYlH7JFx1/8sFc1al9QgB/+vhnYbxL5zflqv/5SyIYHAsne9qaJdXBADHcqXbtd+tarDdBxXeFHykWqoiAtaRDm6rwzo9nywSQ41SaoiGDKF7Uyc0YPn86QVjANa5Jurct/UOGcYEFJ9IFsI2n6SzbULBj7IqjWrPq8a4O4mMaYiGEI2EC+aezGSRzWYLfsgboiGcd8o06QZsl28TjYQRD5Nl+ZMwAVMnNJheJ2DMy7HKm/ntpr0FJVVObWvG8vnTsb67V3r+aJgMDXGsovmsovRKjQJkFHhT8JFKZyZ6iR9aj5k0Z7Y+Zq87kQpln41HQvjF585y7ROxOu+1y+c51iL02owqCad1z4yT50U2l4GjSWO0l45oJGQ5vuy+r+vuM43lf+IbH8ZTOw/hyZ39uHB+W34TN+stcvMlCwy+H6vviFWUXrV+t4IG+xR8pFLRDX7gVz0WmT23mHWzswtb+U5KuR8y34/bCDJ1DL0Px+3zIpuLfjy3kWxm912N5Zd9dvn86bhl5aICrU7tLaJl9ZJZ+PSHZruy/6vX5dZvwDgnUNFHRHQRgDsAhAGsEUL8yOr4SkYfuaEWohvcZmN6dU6v162c96LYCDKv51hKJJvX913rm9GaqYq95lr4blUCq+ijwGwKRBQGsAvA3wLoA7AZwKeFEEbPVY5q2RRqhYe37jfYrYPWX5bxHr7vtUe1lLk4B0CPEOJtACCiBwBcCsB0U2DKC0d01Cd83+uLIG0KJwPQhij0AfiQ/iAiuhLAlQAwa9Ys/duMz3BER33C971+qDpHsxDibiFElxCia9q0aZWeDsMwTE0RpE1hP4AOzd/tudcYhmGYMhGkTWEzgFOIaC4RxQB8CsDDFZ4TwzBMXREYn4IQIk1EVwN4AkpI6r1CiB0VnhbDMExdEZhNAQCEEI8BeKzS82AYhqlXApOnUAxEdBhANTbWnQrg3UpPIkDwehjhNSmE18NIKWsyWwghjdSp6k2hWiGibrPEkXqE18MIr0khvB5G/FqTIDmaGYZhmArDmwLDMAyThzeFynB3pScQMHg9jPCaFMLrYcSXNWGfAsMwDJOHNQWGYRgmD28KDMMwTB7eFHyGiDqI6Gki2klEO4jo2tzrU4joz0T0Zu6/rZWeazkhojARvUxEj+b+nktEm4ioh4h+nyt1UhcQ0WQiWk9ErxPRa0S0hJ8P+kbu+/IqEd1PRA319IwQ0b1E9A4Rvap5TfpMkMKduXXZTkRnlnJu3hT8Jw3gm0KI+QDOBXAVEc0HcCOAp4QQpwB4Kvd3PXEtgNc0f98C4KdCiE4AgwC+XJFZVYY7ADwuhDgNwCIo61K3zwcRnQzgGgBdQojToZS9+RTq6xn5NYCLdK+ZPRMfBXBK7n9XAvh5KSfmTcFnhBAHhRAv5f49AuULfzKUBkK/yR32GwAfr8wMyw8RtQP4GIA1ub8JwAUA1ucOqZv1IKJJAJYBuAcAhBDjQogh1PHzkSMCoJGIIgCaABxEHT0jQohnARzRvWz2TFwKYK1QeBHAZCKaUey5eVMoI0Q0B8AZADYBaBNCHMy9dQhAW4WmVQluB3A9ALXxbwLAkBAinfu7D8rGWQ/MBXAYwK9y5rQ1RNSMOn4+hBD7AfwYwD4om8EwgC2o32dExeyZkDUoK3pteFMoE0TUAuBBAF8XQrynfU8occF1ERtMRCsAvCOE2FLpuQSECIAzAfxcCHEGgFHoTEX19HwAQM5WfimUDXMmgGYYTSl1jZ/PBG8KZYCIolA2hPuEEH/Mvdyvqni5/75TqfmVmaUALiGiPQAegGISuAOKyqtW7a2nBkt9APqEEJtyf6+HsknU6/MBAH8DYLcQ4rAQIgXgj1Cem3p9RlTMnglPG5TxpuAzOXv5PQBeE0L8s+athwF8PvfvzwN4qNxzqwRCiG8JIdqFEHOgOA83CCE+C+BpACtzh9XTehwC0EtEp+ZeWg5gJ+r0+cixD8C5RNSU+/6oa1KXz4gGs2fiYQCrc1FI5wIY1piZXMMZzT5DROcBeA7AKzhhQ/82FL/COgCzoJT/XiWE0DuWahoi+jCAfxBCrCCi90HRHKYAeBnA5UKIZCXnVy6IaDEUp3sMwNsAvghFYKvb54OIvg/gk1Ci914G8BUodvK6eEaI6H4AH4ZSHrsfwPcA/AmSZyK3cd4FxcR2DMAXhRDdRZ+bNwWGYRhGhc1HDMMwTB7eFBiGYZg8vCkwDMMweXhTYBiGYfLwpsAwDMPk4U2BqUuIKENEW3NVOP9ARE0ej/8MEblqqk5ENxPR3+T+/XWv58QwTuBNgalXxoQQi3NVOMcBfK2SkyGisBDiu0KI/8i99HUoheAYpqzwpsAwSnJhZ65e/Z9yNelfJKKFAEBENxHRb4nohVwt+ytyr39Y7QeR+/suIvqCfnAi+jkRdef6A3xf8/oeIrqFiF4C8Aki+jURrSSia6DU/HmalF4cXyKi2zWfu4KIfurbajB1DW8KTF2Tq6XzUSgZ598H8LIQYiGUrPO1mkMXQqnTtATAd4lopovT/KMQois3xl+pm02OASHEmUKIB9QXhBB3AjgA4K+FEH8NJYv173I1tAAl4/leN9fJME7hTYGpVxqJaCuAbii1du4BcB6A3wKAEGIDgAQRTcwd/5AQYkwI8S6UGjznuDjXqpw28DKABQDma977vd2HhRBHAWwAsIKITgMQFUK84uL8DOOYiP0hDFOTjAkhFmtfUErImKKvByOg1OXRClYN+g8R0VwA/wDgbCHEIBH9WnfcqMP5roGivbwO4FcOP8MwrmFNgWFO8ByAzwL5Yn3vanpfXJrrE5yAUqhsM5SiZPOJKE5Ek6FU89QzEcoP/zARtUExVTlhBMAE9Y9cae0OAJ8BcL/L62IYx7CmwDAnuAnAvUS0HUq1yc9r3tsOxWw0FcAPhBAHAICI1gF4FcBuKOahAoQQ24joZSgSfi+A5x3O5W4AjxPRgZxfAVB8C4uFEINuL4xhnMJVUhnGBiK6CcBRIcSPKzyPR6E0rn+qkvNgahs2HzFMwCGiyUS0C4ofhDcExldYU2AYhmHysKbAMAzD5OFNgWEYhsnDmwLDMAyThzcFhmEYJg9vCgzDMEye/wd9IT1mvufi6gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_FdmMneC6C3D"
      },
      "source": [
        "# **Kesimpulan**\r\n",
        "\r\n",
        "Lagu-lagu yang populer dari kurun waktu 1956-2019 biasanya memiliki karakteristik sebagai berikut:\r\n",
        "1. Bertempo 125 / 127 Beats per Minute.\r\n",
        "2. Bergenre Dance pop atau Pop atau Album Rock atau Modern Rock atau Permanent Wave atau Alternative Rock, atau Alternative Metal, atau Canadian Pop, atau Dance Rock, atau Neo Mellow.\r\n",
        "3. Energetic. \r\n",
        "4. Tingkat kenyaringan suaranya adalah -6 sampai -10 dB (desibel).\r\n",
        "5. Bisa dibuat untuk dance.\r\n",
        "6. Membawa mood positif sekitar 30%-49%\r\n",
        "7. Durasi dengan tingkat angka 215 atau 243 atau 217 atau 241 atau 236.\r\n",
        "8. Sebagian besar tidak bertipe akustik.\r\n",
        "9. Sebagian besar hanya mempunyai 3 sampai 6 kata yang terucap.\r\n",
        "\r\n",
        "\r\n",
        "Artis yang paling sering masuk ke dalam Popularity Song adalah: Imagine Dragons, Ed Sheeran, Coldplay, AC/DC, Red Hot Chili Peppers, Linkin Park, Lady Gaga, Twenty One Pilots, Billie Eilish, dan Elton John. Kemudian, ada banyak lagu populer yang dirilis pada tahun 2008 dan 2018.\r\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "83lnyXmHbetj"
      },
      "source": [
        "# **Evaluasi Model**\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yxvDEN86-lRV"
      },
      "source": [
        "Evaluasi bisa dilihat pada daftar 20 lagu paling popular dari dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "YCA0v-7k81Sl",
        "outputId": "5a973b57-8192-4297-919f-357419cb169f"
      },
      "source": [
        "PopularSong = dataLagu[dataLagu['Popularity'].isin([100,99,98,97,96,95,94,93,92,91,90,89,88,87,86,85,84,83,82,81])] \r\n",
        "PopularSong.head(20)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Index</th>\n",
              "      <th>Title</th>\n",
              "      <th>Artist</th>\n",
              "      <th>Top Genre</th>\n",
              "      <th>Year</th>\n",
              "      <th>Beats Per Minute (BPM)</th>\n",
              "      <th>Energy</th>\n",
              "      <th>Danceability</th>\n",
              "      <th>Loudness (dB)</th>\n",
              "      <th>Liveness</th>\n",
              "      <th>Valence</th>\n",
              "      <th>Length (Duration)</th>\n",
              "      <th>Acousticness</th>\n",
              "      <th>Speechiness</th>\n",
              "      <th>Popularity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>794</td>\n",
              "      <td>Dance Monkey</td>\n",
              "      <td>Tones and I</td>\n",
              "      <td>australian pop</td>\n",
              "      <td>2019</td>\n",
              "      <td>98</td>\n",
              "      <td>59</td>\n",
              "      <td>82</td>\n",
              "      <td>-6</td>\n",
              "      <td>15</td>\n",
              "      <td>51</td>\n",
              "      <td>209</td>\n",
              "      <td>69</td>\n",
              "      <td>9</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>788</td>\n",
              "      <td>Memories</td>\n",
              "      <td>Maroon 5</td>\n",
              "      <td>pop</td>\n",
              "      <td>2019</td>\n",
              "      <td>91</td>\n",
              "      <td>32</td>\n",
              "      <td>76</td>\n",
              "      <td>-7</td>\n",
              "      <td>8</td>\n",
              "      <td>57</td>\n",
              "      <td>189</td>\n",
              "      <td>84</td>\n",
              "      <td>5</td>\n",
              "      <td>98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>787</td>\n",
              "      <td>bad guy</td>\n",
              "      <td>Billie Eilish</td>\n",
              "      <td>electropop</td>\n",
              "      <td>2019</td>\n",
              "      <td>135</td>\n",
              "      <td>43</td>\n",
              "      <td>70</td>\n",
              "      <td>-11</td>\n",
              "      <td>10</td>\n",
              "      <td>56</td>\n",
              "      <td>194</td>\n",
              "      <td>33</td>\n",
              "      <td>38</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1642</td>\n",
              "      <td>All I Want for Christmas Is You</td>\n",
              "      <td>Mariah Carey</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>1994</td>\n",
              "      <td>150</td>\n",
              "      <td>63</td>\n",
              "      <td>34</td>\n",
              "      <td>-7</td>\n",
              "      <td>7</td>\n",
              "      <td>35</td>\n",
              "      <td>241</td>\n",
              "      <td>16</td>\n",
              "      <td>4</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>689</td>\n",
              "      <td>Believer</td>\n",
              "      <td>Imagine Dragons</td>\n",
              "      <td>modern rock</td>\n",
              "      <td>2017</td>\n",
              "      <td>125</td>\n",
              "      <td>78</td>\n",
              "      <td>78</td>\n",
              "      <td>-4</td>\n",
              "      <td>8</td>\n",
              "      <td>67</td>\n",
              "      <td>204</td>\n",
              "      <td>6</td>\n",
              "      <td>13</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>727</td>\n",
              "      <td>Shallow</td>\n",
              "      <td>Lady Gaga</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>96</td>\n",
              "      <td>39</td>\n",
              "      <td>57</td>\n",
              "      <td>-6</td>\n",
              "      <td>23</td>\n",
              "      <td>32</td>\n",
              "      <td>216</td>\n",
              "      <td>37</td>\n",
              "      <td>3</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>684</td>\n",
              "      <td>Perfect</td>\n",
              "      <td>Ed Sheeran</td>\n",
              "      <td>pop</td>\n",
              "      <td>2017</td>\n",
              "      <td>95</td>\n",
              "      <td>45</td>\n",
              "      <td>60</td>\n",
              "      <td>-6</td>\n",
              "      <td>11</td>\n",
              "      <td>17</td>\n",
              "      <td>263</td>\n",
              "      <td>16</td>\n",
              "      <td>2</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>688</td>\n",
              "      <td>Shape of You</td>\n",
              "      <td>Ed Sheeran</td>\n",
              "      <td>pop</td>\n",
              "      <td>2017</td>\n",
              "      <td>96</td>\n",
              "      <td>65</td>\n",
              "      <td>83</td>\n",
              "      <td>-3</td>\n",
              "      <td>9</td>\n",
              "      <td>93</td>\n",
              "      <td>234</td>\n",
              "      <td>58</td>\n",
              "      <td>8</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>746</td>\n",
              "      <td>High Hopes</td>\n",
              "      <td>Panic! At The Disco</td>\n",
              "      <td>baroque pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>82</td>\n",
              "      <td>90</td>\n",
              "      <td>58</td>\n",
              "      <td>-3</td>\n",
              "      <td>6</td>\n",
              "      <td>68</td>\n",
              "      <td>191</td>\n",
              "      <td>19</td>\n",
              "      <td>6</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>530</td>\n",
              "      <td>All of Me</td>\n",
              "      <td>John Legend</td>\n",
              "      <td>neo mellow</td>\n",
              "      <td>2013</td>\n",
              "      <td>120</td>\n",
              "      <td>26</td>\n",
              "      <td>42</td>\n",
              "      <td>-7</td>\n",
              "      <td>13</td>\n",
              "      <td>33</td>\n",
              "      <td>270</td>\n",
              "      <td>92</td>\n",
              "      <td>3</td>\n",
              "      <td>86</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>707</td>\n",
              "      <td>Thunder</td>\n",
              "      <td>Imagine Dragons</td>\n",
              "      <td>modern rock</td>\n",
              "      <td>2017</td>\n",
              "      <td>168</td>\n",
              "      <td>82</td>\n",
              "      <td>61</td>\n",
              "      <td>-5</td>\n",
              "      <td>15</td>\n",
              "      <td>29</td>\n",
              "      <td>187</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>86</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>775</td>\n",
              "      <td>One Kiss (with Dua Lipa)</td>\n",
              "      <td>Calvin Harris</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>124</td>\n",
              "      <td>86</td>\n",
              "      <td>79</td>\n",
              "      <td>-3</td>\n",
              "      <td>8</td>\n",
              "      <td>59</td>\n",
              "      <td>215</td>\n",
              "      <td>4</td>\n",
              "      <td>11</td>\n",
              "      <td>86</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>618</td>\n",
              "      <td>The Less I Know The Better</td>\n",
              "      <td>Tame Impala</td>\n",
              "      <td>australian psych</td>\n",
              "      <td>2015</td>\n",
              "      <td>117</td>\n",
              "      <td>74</td>\n",
              "      <td>64</td>\n",
              "      <td>-4</td>\n",
              "      <td>17</td>\n",
              "      <td>79</td>\n",
              "      <td>216</td>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>523</td>\n",
              "      <td>Wake Me Up</td>\n",
              "      <td>Avicii</td>\n",
              "      <td>big room</td>\n",
              "      <td>2013</td>\n",
              "      <td>124</td>\n",
              "      <td>78</td>\n",
              "      <td>53</td>\n",
              "      <td>-6</td>\n",
              "      <td>16</td>\n",
              "      <td>64</td>\n",
              "      <td>247</td>\n",
              "      <td>0</td>\n",
              "      <td>5</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>785</td>\n",
              "      <td>Last Christmas</td>\n",
              "      <td>Wham!</td>\n",
              "      <td>dance rock</td>\n",
              "      <td>2019</td>\n",
              "      <td>108</td>\n",
              "      <td>58</td>\n",
              "      <td>74</td>\n",
              "      <td>-9</td>\n",
              "      <td>18</td>\n",
              "      <td>94</td>\n",
              "      <td>265</td>\n",
              "      <td>19</td>\n",
              "      <td>3</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>773</td>\n",
              "      <td>Havana (feat. Young Thug)</td>\n",
              "      <td>Camila Cabello</td>\n",
              "      <td>dance pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>105</td>\n",
              "      <td>52</td>\n",
              "      <td>77</td>\n",
              "      <td>-4</td>\n",
              "      <td>13</td>\n",
              "      <td>39</td>\n",
              "      <td>217</td>\n",
              "      <td>18</td>\n",
              "      <td>3</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>752</td>\n",
              "      <td>Someone You Loved</td>\n",
              "      <td>Lewis Capaldi</td>\n",
              "      <td>pop</td>\n",
              "      <td>2018</td>\n",
              "      <td>110</td>\n",
              "      <td>41</td>\n",
              "      <td>50</td>\n",
              "      <td>-6</td>\n",
              "      <td>11</td>\n",
              "      <td>45</td>\n",
              "      <td>182</td>\n",
              "      <td>75</td>\n",
              "      <td>3</td>\n",
              "      <td>85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>592</td>\n",
              "      <td>Stay With Me</td>\n",
              "      <td>Sam Smith</td>\n",
              "      <td>pop</td>\n",
              "      <td>2014</td>\n",
              "      <td>84</td>\n",
              "      <td>42</td>\n",
              "      <td>42</td>\n",
              "      <td>-6</td>\n",
              "      <td>11</td>\n",
              "      <td>18</td>\n",
              "      <td>173</td>\n",
              "      <td>59</td>\n",
              "      <td>4</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>418</td>\n",
              "      <td>Christmas Lights</td>\n",
              "      <td>Coldplay</td>\n",
              "      <td>permanent wave</td>\n",
              "      <td>2010</td>\n",
              "      <td>131</td>\n",
              "      <td>42</td>\n",
              "      <td>31</td>\n",
              "      <td>-9</td>\n",
              "      <td>8</td>\n",
              "      <td>24</td>\n",
              "      <td>242</td>\n",
              "      <td>13</td>\n",
              "      <td>3</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>740</td>\n",
              "      <td>Natural</td>\n",
              "      <td>Imagine Dragons</td>\n",
              "      <td>modern rock</td>\n",
              "      <td>2018</td>\n",
              "      <td>100</td>\n",
              "      <td>61</td>\n",
              "      <td>70</td>\n",
              "      <td>-6</td>\n",
              "      <td>8</td>\n",
              "      <td>22</td>\n",
              "      <td>189</td>\n",
              "      <td>22</td>\n",
              "      <td>4</td>\n",
              "      <td>84</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    Index                            Title  ... Speechiness Popularity\n",
              "0     794                     Dance Monkey  ...           9        100\n",
              "1     788                         Memories  ...           5         98\n",
              "2     787                          bad guy  ...          38         95\n",
              "3    1642  All I Want for Christmas Is You  ...           4         95\n",
              "4     689                         Believer  ...          13         88\n",
              "5     727                          Shallow  ...           3         88\n",
              "6     684                          Perfect  ...           2         87\n",
              "7     688                     Shape of You  ...           8         87\n",
              "8     746                       High Hopes  ...           6         87\n",
              "9     530                        All of Me  ...           3         86\n",
              "10    707                          Thunder  ...           4         86\n",
              "11    775         One Kiss (with Dua Lipa)  ...          11         86\n",
              "12    618       The Less I Know The Better  ...           3         85\n",
              "13    523                       Wake Me Up  ...           5         85\n",
              "14    785                   Last Christmas  ...           3         85\n",
              "15    773        Havana (feat. Young Thug)  ...           3         85\n",
              "16    752                Someone You Loved  ...           3         85\n",
              "17    592                     Stay With Me  ...           4         84\n",
              "18    418                 Christmas Lights  ...           3         84\n",
              "19    740                          Natural  ...           4         84\n",
              "\n",
              "[20 rows x 15 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "koVx2OVf-SuF"
      },
      "source": [
        "**Dari tabel Popular Song di atas, bisa dilihat bahwa kesimpulan yang dihasilkan dari permodelan berupa plot telah hampir sesuai.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a7ATiCJUA2gs"
      },
      "source": [
        "# **Review Mengenai Perjalanan Data di Atas:**\r\n",
        "\r\n",
        "1. Menetapkan tujuan (bisnis):  What, why and how dari suatu proyek.\r\n",
        "2. Mengumpulkan data: Proses di mana data dikumpulkan kemudian diperiksa dan dipastikan telah tersedia.\r\n",
        "3. Mempersiapkan data: Proses dimana data akan disiapkan dengan cara membersihkan.\r\n",
        "4. Mengeksplorasi data: Proses untuk mempelajari korelasi antar variabel data, frekuensi dan distribusinya.\r\n",
        "5. Memodelkan data: Proses pemilihan teknik algoritma yang baik.\r\n",
        "6. Evaluasi: Memastikan apakah model sudah sesuai.\r\n"
      ]
    }
  ]
}