Working_through_KaggleNotebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Find notebook here:\n",
    "\n",
    "https://www.kaggle.com/jsongunsw/spotify-datasets/data\n",
    "\n",
    "If you want to understand PCA:\n",
    "\n",
    "https://www.youtube.com/watch?v=_UVHneBUBW0\n",
    "\n",
    "Highly suggest watching the PCA video as PCA is something that we may want to do for our own Spotify Questions.\n",
    "\n",
    "The use of PCA is that it makes an ob that has for example 10 quant variables that define it, into something that only has 3 (or whatever < n dimesions you want). If you wanted to make it only 3 dimensional it would take the 10 dimensional graph of the points and rank the dimensions in which most of the variation is to be had. Then it assigns a value to each ob for how much influence it had on that variation for that dimension. Ultimately things that are close to each other will cluster together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib.ticker as ticker\n",
    "from sklearn import datasets, linear_model\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "import os\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"featuresdf.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>artists</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7qiZfU4dY1lWllzX7mPBI</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>0.825</td>\n",
       "      <td>0.652</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.183</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0931</td>\n",
       "      <td>0.9310</td>\n",
       "      <td>95.977</td>\n",
       "      <td>233713.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5CtI0qwDJkDQGwXD1H1cL</td>\n",
       "      <td>Despacito - Remix</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "      <td>0.694</td>\n",
       "      <td>0.815</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.328</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>0.229000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0924</td>\n",
       "      <td>0.8130</td>\n",
       "      <td>88.931</td>\n",
       "      <td>228827.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4aWmUDTfIPGksMNLV2rQP</td>\n",
       "      <td>Despacito (Featuring Daddy Yankee)</td>\n",
       "      <td>Luis Fonsi</td>\n",
       "      <td>0.660</td>\n",
       "      <td>0.786</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.757</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>0.209000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1120</td>\n",
       "      <td>0.8460</td>\n",
       "      <td>177.833</td>\n",
       "      <td>228200.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6RUKPb4LETWmmr3iAEQkt</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>0.617</td>\n",
       "      <td>0.635</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-6.769</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0317</td>\n",
       "      <td>0.049800</td>\n",
       "      <td>0.000014</td>\n",
       "      <td>0.1640</td>\n",
       "      <td>0.4460</td>\n",
       "      <td>103.019</td>\n",
       "      <td>247160.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3DXncPQOG4VBw3QHh3S81</td>\n",
       "      <td>I'm the One</td>\n",
       "      <td>DJ Khaled</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.668</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-4.284</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0367</td>\n",
       "      <td>0.055200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.8110</td>\n",
       "      <td>80.924</td>\n",
       "      <td>288600.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7KXjTSCq5nL1LoYtL7XAw</td>\n",
       "      <td>HUMBLE.</td>\n",
       "      <td>Kendrick Lamar</td>\n",
       "      <td>0.904</td>\n",
       "      <td>0.611</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.842</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0888</td>\n",
       "      <td>0.000259</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.0976</td>\n",
       "      <td>0.4000</td>\n",
       "      <td>150.020</td>\n",
       "      <td>177000.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3eR23VReFzcdmS7TYCrhC</td>\n",
       "      <td>It Ain't Me (with Selena Gomez)</td>\n",
       "      <td>Kygo</td>\n",
       "      <td>0.640</td>\n",
       "      <td>0.533</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-6.596</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0706</td>\n",
       "      <td>0.119000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0864</td>\n",
       "      <td>0.5150</td>\n",
       "      <td>99.968</td>\n",
       "      <td>220781.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3B54sVLJ402zGa6Xm4YGN</td>\n",
       "      <td>Unforgettable</td>\n",
       "      <td>French Montana</td>\n",
       "      <td>0.726</td>\n",
       "      <td>0.769</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-5.043</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1230</td>\n",
       "      <td>0.029300</td>\n",
       "      <td>0.010100</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>0.7330</td>\n",
       "      <td>97.985</td>\n",
       "      <td>233902.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0KKkJNfGyhkQ5aFogxQAP</td>\n",
       "      <td>That's What I Like</td>\n",
       "      <td>Bruno Mars</td>\n",
       "      <td>0.853</td>\n",
       "      <td>0.560</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.961</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0406</td>\n",
       "      <td>0.013000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0944</td>\n",
       "      <td>0.8600</td>\n",
       "      <td>134.066</td>\n",
       "      <td>206693.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3NdDpSvN911VPGivFlV5d</td>\n",
       "      <td>I Don’t Wanna Live Forever (Fifty Shades Darke...</td>\n",
       "      <td>ZAYN</td>\n",
       "      <td>0.735</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-8.374</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0585</td>\n",
       "      <td>0.063100</td>\n",
       "      <td>0.000013</td>\n",
       "      <td>0.3250</td>\n",
       "      <td>0.0862</td>\n",
       "      <td>117.973</td>\n",
       "      <td>245200.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>7GX5flRQZVHRAGd6B4TmD</td>\n",
       "      <td>XO TOUR Llif3</td>\n",
       "      <td>Lil Uzi Vert</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.750</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-6.366</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2310</td>\n",
       "      <td>0.002640</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1090</td>\n",
       "      <td>0.4010</td>\n",
       "      <td>155.096</td>\n",
       "      <td>182707.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>72jbDTw1piOOj770jWNea</td>\n",
       "      <td>Paris</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>0.653</td>\n",
       "      <td>0.658</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-6.428</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0304</td>\n",
       "      <td>0.021500</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.0939</td>\n",
       "      <td>0.2190</td>\n",
       "      <td>99.990</td>\n",
       "      <td>221507.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0dA2Mk56wEzDgegdC6R17</td>\n",
       "      <td>Stay (with Alessia Cara)</td>\n",
       "      <td>Zedd</td>\n",
       "      <td>0.679</td>\n",
       "      <td>0.634</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-5.024</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0654</td>\n",
       "      <td>0.232000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1150</td>\n",
       "      <td>0.4980</td>\n",
       "      <td>102.013</td>\n",
       "      <td>210091.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4iLqG9SeJSnt0cSPICSjx</td>\n",
       "      <td>Attention</td>\n",
       "      <td>Charlie Puth</td>\n",
       "      <td>0.774</td>\n",
       "      <td>0.626</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-4.432</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0432</td>\n",
       "      <td>0.096900</td>\n",
       "      <td>0.000031</td>\n",
       "      <td>0.0848</td>\n",
       "      <td>0.7770</td>\n",
       "      <td>100.041</td>\n",
       "      <td>211475.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0VgkVdmE4gld66l8iyGjg</td>\n",
       "      <td>Mask Off</td>\n",
       "      <td>Future</td>\n",
       "      <td>0.833</td>\n",
       "      <td>0.434</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-8.795</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.010200</td>\n",
       "      <td>0.021900</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.2810</td>\n",
       "      <td>150.062</td>\n",
       "      <td>204600.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3a1lNhkSLSkpJE4MSHpDu</td>\n",
       "      <td>Congratulations</td>\n",
       "      <td>Post Malone</td>\n",
       "      <td>0.627</td>\n",
       "      <td>0.812</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-4.215</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0358</td>\n",
       "      <td>0.198000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2120</td>\n",
       "      <td>0.5040</td>\n",
       "      <td>123.071</td>\n",
       "      <td>220293.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>6kex4EBAj0WHXDKZMEJaa</td>\n",
       "      <td>Swalla (feat. Nicki Minaj &amp; Ty Dolla $ign)</td>\n",
       "      <td>Jason Derulo</td>\n",
       "      <td>0.696</td>\n",
       "      <td>0.817</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-3.862</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1090</td>\n",
       "      <td>0.075000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1870</td>\n",
       "      <td>0.7820</td>\n",
       "      <td>98.064</td>\n",
       "      <td>216409.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>6PCUP3dWmTjcTtXY02oFd</td>\n",
       "      <td>Castle on the Hill</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>0.461</td>\n",
       "      <td>0.834</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.868</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0989</td>\n",
       "      <td>0.023200</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.1400</td>\n",
       "      <td>0.4710</td>\n",
       "      <td>135.007</td>\n",
       "      <td>261154.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5knuzwU65gJK7IF5yJsua</td>\n",
       "      <td>Rockabye (feat. Sean Paul &amp; Anne-Marie)</td>\n",
       "      <td>Clean Bandit</td>\n",
       "      <td>0.720</td>\n",
       "      <td>0.763</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-4.068</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0523</td>\n",
       "      <td>0.406000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1800</td>\n",
       "      <td>0.7420</td>\n",
       "      <td>101.965</td>\n",
       "      <td>251088.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0CcQNd8CINkwQfe1RDtGV</td>\n",
       "      <td>Believer</td>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>0.779</td>\n",
       "      <td>0.787</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-4.305</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>0.052400</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1400</td>\n",
       "      <td>0.7080</td>\n",
       "      <td>124.982</td>\n",
       "      <td>204347.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2rb5MvYT7ZIxbKW5hfcHx</td>\n",
       "      <td>Mi Gente</td>\n",
       "      <td>J Balvin</td>\n",
       "      <td>0.543</td>\n",
       "      <td>0.677</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-4.915</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0993</td>\n",
       "      <td>0.014800</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.1300</td>\n",
       "      <td>0.2940</td>\n",
       "      <td>103.809</td>\n",
       "      <td>189440.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0tKcYR2II1VCQWT79i5Nr</td>\n",
       "      <td>Thunder</td>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>0.600</td>\n",
       "      <td>0.810</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.749</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0479</td>\n",
       "      <td>0.006830</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.1550</td>\n",
       "      <td>0.2980</td>\n",
       "      <td>167.880</td>\n",
       "      <td>187147.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>5uCax9HTNlzGybIStD3vD</td>\n",
       "      <td>Say You Won't Let Go</td>\n",
       "      <td>James Arthur</td>\n",
       "      <td>0.358</td>\n",
       "      <td>0.557</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-7.398</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0590</td>\n",
       "      <td>0.695000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0902</td>\n",
       "      <td>0.4940</td>\n",
       "      <td>85.043</td>\n",
       "      <td>211467.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>79cuOz3SPQTuFrp8WgftA</td>\n",
       "      <td>There's Nothing Holdin' Me Back</td>\n",
       "      <td>Shawn Mendes</td>\n",
       "      <td>0.857</td>\n",
       "      <td>0.800</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.035</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0583</td>\n",
       "      <td>0.381000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0913</td>\n",
       "      <td>0.9660</td>\n",
       "      <td>121.996</td>\n",
       "      <td>199440.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6De0lHrwBfPfrhorm9q1X</td>\n",
       "      <td>Me Rehúso</td>\n",
       "      <td>Danny Ocean</td>\n",
       "      <td>0.744</td>\n",
       "      <td>0.804</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.327</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0677</td>\n",
       "      <td>0.023100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0494</td>\n",
       "      <td>0.4260</td>\n",
       "      <td>104.823</td>\n",
       "      <td>205715.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6D0b04NJIKfEMg040WioJ</td>\n",
       "      <td>Issues</td>\n",
       "      <td>Julia Michaels</td>\n",
       "      <td>0.706</td>\n",
       "      <td>0.427</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-6.864</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0879</td>\n",
       "      <td>0.413000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0609</td>\n",
       "      <td>0.4200</td>\n",
       "      <td>113.804</td>\n",
       "      <td>176320.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0afhq8XCExXpqazXczTSv</td>\n",
       "      <td>Galway Girl</td>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>0.624</td>\n",
       "      <td>0.876</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-3.374</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.073500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3270</td>\n",
       "      <td>0.7810</td>\n",
       "      <td>99.943</td>\n",
       "      <td>170827.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>3ebXMykcMXOcLeJ9xZ17X</td>\n",
       "      <td>Scared to Be Lonely</td>\n",
       "      <td>Martin Garrix</td>\n",
       "      <td>0.584</td>\n",
       "      <td>0.540</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-7.786</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0576</td>\n",
       "      <td>0.089500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2610</td>\n",
       "      <td>0.1950</td>\n",
       "      <td>137.972</td>\n",
       "      <td>220883.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>7BKLCZ1jbUBVqRi2FVlTV</td>\n",
       "      <td>Closer</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>0.748</td>\n",
       "      <td>0.524</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-5.599</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0338</td>\n",
       "      <td>0.414000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1110</td>\n",
       "      <td>0.6610</td>\n",
       "      <td>95.010</td>\n",
       "      <td>244960.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1x5sYLZiu9r5E43kMlt9f</td>\n",
       "      <td>Symphony (feat. Zara Larsson)</td>\n",
       "      <td>Clean Bandit</td>\n",
       "      <td>0.707</td>\n",
       "      <td>0.629</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-4.581</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0563</td>\n",
       "      <td>0.259000</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.1380</td>\n",
       "      <td>0.4570</td>\n",
       "      <td>122.863</td>\n",
       "      <td>212459.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>5Ohxk2dO5COHF1krpoPig</td>\n",
       "      <td>Sign of the Times</td>\n",
       "      <td>Harry Styles</td>\n",
       "      <td>0.516</td>\n",
       "      <td>0.595</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-4.630</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0313</td>\n",
       "      <td>0.027500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1090</td>\n",
       "      <td>0.2220</td>\n",
       "      <td>119.972</td>\n",
       "      <td>340707.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>6gBFPUFcJLzWGx4lenP6h</td>\n",
       "      <td>goosebumps</td>\n",
       "      <td>Travis Scott</td>\n",
       "      <td>0.841</td>\n",
       "      <td>0.728</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-3.370</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0484</td>\n",
       "      <td>0.084700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1490</td>\n",
       "      <td>0.4300</td>\n",
       "      <td>130.049</td>\n",
       "      <td>243837.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>5Z3GHaZ6ec9bsiI5Benrb</td>\n",
       "      <td>Young Dumb &amp; Broke</td>\n",
       "      <td>Khalid</td>\n",
       "      <td>0.798</td>\n",
       "      <td>0.539</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-6.351</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0421</td>\n",
       "      <td>0.199000</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.3940</td>\n",
       "      <td>136.949</td>\n",
       "      <td>202547.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>6jA8HL9i4QGzsj6fjoxp8</td>\n",
       "      <td>There for You</td>\n",
       "      <td>Martin Garrix</td>\n",
       "      <td>0.611</td>\n",
       "      <td>0.644</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-7.607</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0553</td>\n",
       "      <td>0.124000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1240</td>\n",
       "      <td>0.1300</td>\n",
       "      <td>105.969</td>\n",
       "      <td>221904.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>21TdkDRXuAB3k90ujRU1e</td>\n",
       "      <td>Cold (feat. Future)</td>\n",
       "      <td>Maroon 5</td>\n",
       "      <td>0.697</td>\n",
       "      <td>0.716</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-6.288</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>0.118000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0424</td>\n",
       "      <td>0.5060</td>\n",
       "      <td>99.905</td>\n",
       "      <td>234308.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>7vGuf3Y35N4wmASOKLUVV</td>\n",
       "      <td>Silence</td>\n",
       "      <td>Marshmello</td>\n",
       "      <td>0.520</td>\n",
       "      <td>0.761</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-3.093</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0853</td>\n",
       "      <td>0.256000</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.1700</td>\n",
       "      <td>0.2860</td>\n",
       "      <td>141.971</td>\n",
       "      <td>180823.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>1mXVgsBdtIVeCLJnSnmtd</td>\n",
       "      <td>Too Good At Goodbyes</td>\n",
       "      <td>Sam Smith</td>\n",
       "      <td>0.698</td>\n",
       "      <td>0.375</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-8.279</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0491</td>\n",
       "      <td>0.652000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1730</td>\n",
       "      <td>0.5340</td>\n",
       "      <td>91.920</td>\n",
       "      <td>201000.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>3EmmCZoqpWOTY1g2GBwJo</td>\n",
       "      <td>Just Hold On</td>\n",
       "      <td>Steve Aoki</td>\n",
       "      <td>0.647</td>\n",
       "      <td>0.932</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-3.515</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0824</td>\n",
       "      <td>0.003830</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.0574</td>\n",
       "      <td>0.3740</td>\n",
       "      <td>114.991</td>\n",
       "      <td>198774.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>6uFsE1JgZ20EXyU0JQZbU</td>\n",
       "      <td>Look What You Made Me Do</td>\n",
       "      <td>Taylor Swift</td>\n",
       "      <td>0.773</td>\n",
       "      <td>0.680</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-6.378</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1410</td>\n",
       "      <td>0.213000</td>\n",
       "      <td>0.000016</td>\n",
       "      <td>0.1220</td>\n",
       "      <td>0.4970</td>\n",
       "      <td>128.062</td>\n",
       "      <td>211859.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>0CokSRCu5hZgPxcZBaEzV</td>\n",
       "      <td>Glorious (feat. Skylar Grey)</td>\n",
       "      <td>Macklemore</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.794</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-5.126</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0522</td>\n",
       "      <td>0.032300</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.1120</td>\n",
       "      <td>0.3560</td>\n",
       "      <td>139.994</td>\n",
       "      <td>220454.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>6875MeXyCW0wLyT72Eetm</td>\n",
       "      <td>Starving</td>\n",
       "      <td>Hailee Steinfeld</td>\n",
       "      <td>0.721</td>\n",
       "      <td>0.626</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-4.200</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1230</td>\n",
       "      <td>0.402000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>0.5580</td>\n",
       "      <td>99.914</td>\n",
       "      <td>181933.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>3AEZUABDXNtecAOSC1qTf</td>\n",
       "      <td>Reggaetón Lento (Bailemos)</td>\n",
       "      <td>CNCO</td>\n",
       "      <td>0.761</td>\n",
       "      <td>0.838</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-3.073</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0502</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1760</td>\n",
       "      <td>0.7100</td>\n",
       "      <td>93.974</td>\n",
       "      <td>222560.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>3E2Zh20GDCR9B1EYjfXWy</td>\n",
       "      <td>Weak</td>\n",
       "      <td>AJR</td>\n",
       "      <td>0.673</td>\n",
       "      <td>0.637</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-4.518</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0429</td>\n",
       "      <td>0.137000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.6780</td>\n",
       "      <td>123.980</td>\n",
       "      <td>201160.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>4pLwZjInHj3SimIyN9SnO</td>\n",
       "      <td>Side To Side</td>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>0.648</td>\n",
       "      <td>0.738</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-5.883</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2470</td>\n",
       "      <td>0.040800</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2920</td>\n",
       "      <td>0.6030</td>\n",
       "      <td>159.145</td>\n",
       "      <td>226160.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>3QwBODjSEzelZyVjxPOHd</td>\n",
       "      <td>Otra Vez (feat. J Balvin)</td>\n",
       "      <td>Zion &amp; Lennox</td>\n",
       "      <td>0.832</td>\n",
       "      <td>0.772</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-5.429</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.055900</td>\n",
       "      <td>0.000486</td>\n",
       "      <td>0.4400</td>\n",
       "      <td>0.7040</td>\n",
       "      <td>96.016</td>\n",
       "      <td>209453.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>1wjzFQodRWrPcQ0AnYnvQ</td>\n",
       "      <td>I Like Me Better</td>\n",
       "      <td>Lauv</td>\n",
       "      <td>0.752</td>\n",
       "      <td>0.505</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-7.621</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2530</td>\n",
       "      <td>0.535000</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>0.1040</td>\n",
       "      <td>0.4190</td>\n",
       "      <td>91.970</td>\n",
       "      <td>197437.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>04DwTuZ2VBdJCCC5TROn7</td>\n",
       "      <td>In the Name of Love</td>\n",
       "      <td>Martin Garrix</td>\n",
       "      <td>0.490</td>\n",
       "      <td>0.485</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-6.237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0406</td>\n",
       "      <td>0.059200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3370</td>\n",
       "      <td>0.1960</td>\n",
       "      <td>133.889</td>\n",
       "      <td>195840.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>6DNtNfH8hXkqOX1sjqmI7</td>\n",
       "      <td>Cold Water (feat. Justin Bieber &amp; MØ)</td>\n",
       "      <td>Major Lazer</td>\n",
       "      <td>0.608</td>\n",
       "      <td>0.798</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-5.092</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0432</td>\n",
       "      <td>0.073600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1560</td>\n",
       "      <td>0.5010</td>\n",
       "      <td>92.943</td>\n",
       "      <td>185352.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>1UZOjK1BwmwWU14Erba9C</td>\n",
       "      <td>Malibu</td>\n",
       "      <td>Miley Cyrus</td>\n",
       "      <td>0.573</td>\n",
       "      <td>0.781</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-6.406</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0555</td>\n",
       "      <td>0.076700</td>\n",
       "      <td>0.000026</td>\n",
       "      <td>0.0813</td>\n",
       "      <td>0.3430</td>\n",
       "      <td>139.934</td>\n",
       "      <td>231907.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>4b4KcovePX8Ke2cLIQTLM</td>\n",
       "      <td>All Night</td>\n",
       "      <td>The Vamps</td>\n",
       "      <td>0.544</td>\n",
       "      <td>0.809</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-5.098</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0363</td>\n",
       "      <td>0.003800</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3230</td>\n",
       "      <td>0.4480</td>\n",
       "      <td>145.017</td>\n",
       "      <td>197640.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1a5Yu5L18qNxVhXx38njO</td>\n",
       "      <td>Hear Me Now</td>\n",
       "      <td>Alok</td>\n",
       "      <td>0.789</td>\n",
       "      <td>0.442</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-7.844</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0421</td>\n",
       "      <td>0.586000</td>\n",
       "      <td>0.003660</td>\n",
       "      <td>0.0927</td>\n",
       "      <td>0.4500</td>\n",
       "      <td>121.971</td>\n",
       "      <td>192846.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>4c2W3VKsOFoIg2SFaO6DY</td>\n",
       "      <td>Your Song</td>\n",
       "      <td>Rita Ora</td>\n",
       "      <td>0.855</td>\n",
       "      <td>0.624</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-4.093</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0488</td>\n",
       "      <td>0.158000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0513</td>\n",
       "      <td>0.9620</td>\n",
       "      <td>117.959</td>\n",
       "      <td>180757.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>22eADXu8DfOAUEDw4vU8q</td>\n",
       "      <td>Ahora Dice</td>\n",
       "      <td>Chris Jeday</td>\n",
       "      <td>0.708</td>\n",
       "      <td>0.693</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-5.516</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1380</td>\n",
       "      <td>0.246000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1290</td>\n",
       "      <td>0.4270</td>\n",
       "      <td>143.965</td>\n",
       "      <td>271080.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>7nZmah2llfvLDiUjm0kiy</td>\n",
       "      <td>Friends (with BloodPop®)</td>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>0.744</td>\n",
       "      <td>0.739</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-5.350</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0387</td>\n",
       "      <td>0.004590</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3060</td>\n",
       "      <td>0.6490</td>\n",
       "      <td>104.990</td>\n",
       "      <td>189467.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2fQrGHiQOvpL9UgPvtYy6</td>\n",
       "      <td>Bank Account</td>\n",
       "      <td>21 Savage</td>\n",
       "      <td>0.884</td>\n",
       "      <td>0.346</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-8.228</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3510</td>\n",
       "      <td>0.015100</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.0871</td>\n",
       "      <td>0.3760</td>\n",
       "      <td>75.016</td>\n",
       "      <td>220307.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>1PSBzsahR2AKwLJgx8ehB</td>\n",
       "      <td>Bad Things (with Camila Cabello)</td>\n",
       "      <td>Machine Gun Kelly</td>\n",
       "      <td>0.675</td>\n",
       "      <td>0.690</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-4.761</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1320</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2870</td>\n",
       "      <td>0.2720</td>\n",
       "      <td>137.817</td>\n",
       "      <td>239293.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0QsvXIfqM0zZoerQfsI9l</td>\n",
       "      <td>Don't Let Me Down</td>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.859</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-5.651</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1970</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>0.004660</td>\n",
       "      <td>0.1370</td>\n",
       "      <td>0.4030</td>\n",
       "      <td>159.797</td>\n",
       "      <td>208053.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>7mldq42yDuxiUNn08nvzH</td>\n",
       "      <td>Body Like A Back Road</td>\n",
       "      <td>Sam Hunt</td>\n",
       "      <td>0.731</td>\n",
       "      <td>0.469</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-7.226</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0326</td>\n",
       "      <td>0.463000</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>0.6310</td>\n",
       "      <td>98.963</td>\n",
       "      <td>165387.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>7i2DJ88J7jQ8K7zqFX2fW</td>\n",
       "      <td>Now Or Never</td>\n",
       "      <td>Halsey</td>\n",
       "      <td>0.658</td>\n",
       "      <td>0.588</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-4.902</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0367</td>\n",
       "      <td>0.105000</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.1250</td>\n",
       "      <td>0.4340</td>\n",
       "      <td>110.075</td>\n",
       "      <td>214802.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1j4kHkkpqZRBwE0A4CN4Y</td>\n",
       "      <td>Dusk Till Dawn - Radio Edit</td>\n",
       "      <td>ZAYN</td>\n",
       "      <td>0.258</td>\n",
       "      <td>0.437</td>\n",
       "      <td>11.0</td>\n",
       "      <td>-6.593</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0390</td>\n",
       "      <td>0.101000</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.1060</td>\n",
       "      <td>0.0967</td>\n",
       "      <td>180.043</td>\n",
       "      <td>239000.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       id                                               name  \\\n",
       "0   7qiZfU4dY1lWllzX7mPBI                                       Shape of You   \n",
       "1   5CtI0qwDJkDQGwXD1H1cL                                  Despacito - Remix   \n",
       "2   4aWmUDTfIPGksMNLV2rQP                 Despacito (Featuring Daddy Yankee)   \n",
       "3   6RUKPb4LETWmmr3iAEQkt                           Something Just Like This   \n",
       "4   3DXncPQOG4VBw3QHh3S81                                        I'm the One   \n",
       "5   7KXjTSCq5nL1LoYtL7XAw                                            HUMBLE.   \n",
       "6   3eR23VReFzcdmS7TYCrhC                    It Ain't Me (with Selena Gomez)   \n",
       "7   3B54sVLJ402zGa6Xm4YGN                                      Unforgettable   \n",
       "8   0KKkJNfGyhkQ5aFogxQAP                                 That's What I Like   \n",
       "9   3NdDpSvN911VPGivFlV5d  I Don’t Wanna Live Forever (Fifty Shades Darke...   \n",
       "10  7GX5flRQZVHRAGd6B4TmD                                      XO TOUR Llif3   \n",
       "11  72jbDTw1piOOj770jWNea                                              Paris   \n",
       "12  0dA2Mk56wEzDgegdC6R17                           Stay (with Alessia Cara)   \n",
       "13  4iLqG9SeJSnt0cSPICSjx                                          Attention   \n",
       "14  0VgkVdmE4gld66l8iyGjg                                           Mask Off   \n",
       "15  3a1lNhkSLSkpJE4MSHpDu                                    Congratulations   \n",
       "16  6kex4EBAj0WHXDKZMEJaa         Swalla (feat. Nicki Minaj & Ty Dolla $ign)   \n",
       "17  6PCUP3dWmTjcTtXY02oFd                                 Castle on the Hill   \n",
       "18  5knuzwU65gJK7IF5yJsua            Rockabye (feat. Sean Paul & Anne-Marie)   \n",
       "19  0CcQNd8CINkwQfe1RDtGV                                           Believer   \n",
       "20  2rb5MvYT7ZIxbKW5hfcHx                                           Mi Gente   \n",
       "21  0tKcYR2II1VCQWT79i5Nr                                            Thunder   \n",
       "22  5uCax9HTNlzGybIStD3vD                               Say You Won't Let Go   \n",
       "23  79cuOz3SPQTuFrp8WgftA                    There's Nothing Holdin' Me Back   \n",
       "24  6De0lHrwBfPfrhorm9q1X                                          Me Rehúso   \n",
       "25  6D0b04NJIKfEMg040WioJ                                             Issues   \n",
       "26  0afhq8XCExXpqazXczTSv                                        Galway Girl   \n",
       "27  3ebXMykcMXOcLeJ9xZ17X                                Scared to Be Lonely   \n",
       "28  7BKLCZ1jbUBVqRi2FVlTV                                             Closer   \n",
       "29  1x5sYLZiu9r5E43kMlt9f                      Symphony (feat. Zara Larsson)   \n",
       "..                    ...                                                ...   \n",
       "70  5Ohxk2dO5COHF1krpoPig                                  Sign of the Times   \n",
       "71  6gBFPUFcJLzWGx4lenP6h                                         goosebumps   \n",
       "72  5Z3GHaZ6ec9bsiI5Benrb                                 Young Dumb & Broke   \n",
       "73  6jA8HL9i4QGzsj6fjoxp8                                      There for You   \n",
       "74  21TdkDRXuAB3k90ujRU1e                                Cold (feat. Future)   \n",
       "75  7vGuf3Y35N4wmASOKLUVV                                            Silence   \n",
       "76  1mXVgsBdtIVeCLJnSnmtd                               Too Good At Goodbyes   \n",
       "77  3EmmCZoqpWOTY1g2GBwJo                                       Just Hold On   \n",
       "78  6uFsE1JgZ20EXyU0JQZbU                           Look What You Made Me Do   \n",
       "79  0CokSRCu5hZgPxcZBaEzV                       Glorious (feat. Skylar Grey)   \n",
       "80  6875MeXyCW0wLyT72Eetm                                           Starving   \n",
       "81  3AEZUABDXNtecAOSC1qTf                         Reggaetón Lento (Bailemos)   \n",
       "82  3E2Zh20GDCR9B1EYjfXWy                                               Weak   \n",
       "83  4pLwZjInHj3SimIyN9SnO                                       Side To Side   \n",
       "84  3QwBODjSEzelZyVjxPOHd                          Otra Vez (feat. J Balvin)   \n",
       "85  1wjzFQodRWrPcQ0AnYnvQ                                   I Like Me Better   \n",
       "86  04DwTuZ2VBdJCCC5TROn7                                In the Name of Love   \n",
       "87  6DNtNfH8hXkqOX1sjqmI7              Cold Water (feat. Justin Bieber & MØ)   \n",
       "88  1UZOjK1BwmwWU14Erba9C                                             Malibu   \n",
       "89  4b4KcovePX8Ke2cLIQTLM                                          All Night   \n",
       "90  1a5Yu5L18qNxVhXx38njO                                        Hear Me Now   \n",
       "91  4c2W3VKsOFoIg2SFaO6DY                                          Your Song   \n",
       "92  22eADXu8DfOAUEDw4vU8q                                         Ahora Dice   \n",
       "93  7nZmah2llfvLDiUjm0kiy                           Friends (with BloodPop®)   \n",
       "94  2fQrGHiQOvpL9UgPvtYy6                                       Bank Account   \n",
       "95  1PSBzsahR2AKwLJgx8ehB                   Bad Things (with Camila Cabello)   \n",
       "96  0QsvXIfqM0zZoerQfsI9l                                  Don't Let Me Down   \n",
       "97  7mldq42yDuxiUNn08nvzH                              Body Like A Back Road   \n",
       "98  7i2DJ88J7jQ8K7zqFX2fW                                       Now Or Never   \n",
       "99  1j4kHkkpqZRBwE0A4CN4Y                        Dusk Till Dawn - Radio Edit   \n",
       "\n",
       "              artists  danceability  energy   key  loudness  mode  \\\n",
       "0          Ed Sheeran         0.825   0.652   1.0    -3.183   0.0   \n",
       "1          Luis Fonsi         0.694   0.815   2.0    -4.328   1.0   \n",
       "2          Luis Fonsi         0.660   0.786   2.0    -4.757   1.0   \n",
       "3    The Chainsmokers         0.617   0.635  11.0    -6.769   0.0   \n",
       "4           DJ Khaled         0.609   0.668   7.0    -4.284   1.0   \n",
       "5      Kendrick Lamar         0.904   0.611   1.0    -6.842   0.0   \n",
       "6                Kygo         0.640   0.533   0.0    -6.596   1.0   \n",
       "7      French Montana         0.726   0.769   6.0    -5.043   1.0   \n",
       "8          Bruno Mars         0.853   0.560   1.0    -4.961   1.0   \n",
       "9                ZAYN         0.735   0.451   0.0    -8.374   1.0   \n",
       "10       Lil Uzi Vert         0.732   0.750  11.0    -6.366   0.0   \n",
       "11   The Chainsmokers         0.653   0.658   2.0    -6.428   1.0   \n",
       "12               Zedd         0.679   0.634   5.0    -5.024   0.0   \n",
       "13       Charlie Puth         0.774   0.626   3.0    -4.432   0.0   \n",
       "14             Future         0.833   0.434   2.0    -8.795   1.0   \n",
       "15        Post Malone         0.627   0.812   6.0    -4.215   1.0   \n",
       "16       Jason Derulo         0.696   0.817   1.0    -3.862   1.0   \n",
       "17         Ed Sheeran         0.461   0.834   2.0    -4.868   1.0   \n",
       "18       Clean Bandit         0.720   0.763   9.0    -4.068   0.0   \n",
       "19    Imagine Dragons         0.779   0.787  10.0    -4.305   0.0   \n",
       "20           J Balvin         0.543   0.677  11.0    -4.915   0.0   \n",
       "21    Imagine Dragons         0.600   0.810   0.0    -4.749   1.0   \n",
       "22       James Arthur         0.358   0.557  10.0    -7.398   1.0   \n",
       "23       Shawn Mendes         0.857   0.800   2.0    -4.035   1.0   \n",
       "24        Danny Ocean         0.744   0.804   1.0    -6.327   1.0   \n",
       "25     Julia Michaels         0.706   0.427   8.0    -6.864   1.0   \n",
       "26         Ed Sheeran         0.624   0.876   9.0    -3.374   1.0   \n",
       "27      Martin Garrix         0.584   0.540   1.0    -7.786   0.0   \n",
       "28   The Chainsmokers         0.748   0.524   8.0    -5.599   1.0   \n",
       "29       Clean Bandit         0.707   0.629   0.0    -4.581   0.0   \n",
       "..                ...           ...     ...   ...       ...   ...   \n",
       "70       Harry Styles         0.516   0.595   5.0    -4.630   1.0   \n",
       "71       Travis Scott         0.841   0.728   7.0    -3.370   1.0   \n",
       "72             Khalid         0.798   0.539   1.0    -6.351   1.0   \n",
       "73      Martin Garrix         0.611   0.644   6.0    -7.607   0.0   \n",
       "74           Maroon 5         0.697   0.716   9.0    -6.288   0.0   \n",
       "75         Marshmello         0.520   0.761   4.0    -3.093   1.0   \n",
       "76          Sam Smith         0.698   0.375   5.0    -8.279   1.0   \n",
       "77         Steve Aoki         0.647   0.932  11.0    -3.515   1.0   \n",
       "78       Taylor Swift         0.773   0.680   9.0    -6.378   0.0   \n",
       "79         Macklemore         0.731   0.794   0.0    -5.126   0.0   \n",
       "80   Hailee Steinfeld         0.721   0.626   4.0    -4.200   1.0   \n",
       "81               CNCO         0.761   0.838   4.0    -3.073   0.0   \n",
       "82                AJR         0.673   0.637   5.0    -4.518   1.0   \n",
       "83      Ariana Grande         0.648   0.738   6.0    -5.883   0.0   \n",
       "84      Zion & Lennox         0.832   0.772  10.0    -5.429   1.0   \n",
       "85               Lauv         0.752   0.505   9.0    -7.621   1.0   \n",
       "86      Martin Garrix         0.490   0.485   4.0    -6.237   0.0   \n",
       "87        Major Lazer         0.608   0.798   6.0    -5.092   0.0   \n",
       "88        Miley Cyrus         0.573   0.781   8.0    -6.406   1.0   \n",
       "89          The Vamps         0.544   0.809   8.0    -5.098   1.0   \n",
       "90               Alok         0.789   0.442  11.0    -7.844   1.0   \n",
       "91           Rita Ora         0.855   0.624   1.0    -4.093   1.0   \n",
       "92        Chris Jeday         0.708   0.693   6.0    -5.516   1.0   \n",
       "93      Justin Bieber         0.744   0.739   8.0    -5.350   1.0   \n",
       "94          21 Savage         0.884   0.346   8.0    -8.228   0.0   \n",
       "95  Machine Gun Kelly         0.675   0.690   2.0    -4.761   1.0   \n",
       "96   The Chainsmokers         0.542   0.859  11.0    -5.651   1.0   \n",
       "97           Sam Hunt         0.731   0.469   5.0    -7.226   1.0   \n",
       "98             Halsey         0.658   0.588   6.0    -4.902   0.0   \n",
       "99               ZAYN         0.258   0.437  11.0    -6.593   0.0   \n",
       "\n",
       "    speechiness  acousticness  instrumentalness  liveness  valence    tempo  \\\n",
       "0        0.0802      0.581000          0.000000    0.0931   0.9310   95.977   \n",
       "1        0.1200      0.229000          0.000000    0.0924   0.8130   88.931   \n",
       "2        0.1700      0.209000          0.000000    0.1120   0.8460  177.833   \n",
       "3        0.0317      0.049800          0.000014    0.1640   0.4460  103.019   \n",
       "4        0.0367      0.055200          0.000000    0.1670   0.8110   80.924   \n",
       "5        0.0888      0.000259          0.000020    0.0976   0.4000  150.020   \n",
       "6        0.0706      0.119000          0.000000    0.0864   0.5150   99.968   \n",
       "7        0.1230      0.029300          0.010100    0.1040   0.7330   97.985   \n",
       "8        0.0406      0.013000          0.000000    0.0944   0.8600  134.066   \n",
       "9        0.0585      0.063100          0.000013    0.3250   0.0862  117.973   \n",
       "10       0.2310      0.002640          0.000000    0.1090   0.4010  155.096   \n",
       "11       0.0304      0.021500          0.000002    0.0939   0.2190   99.990   \n",
       "12       0.0654      0.232000          0.000000    0.1150   0.4980  102.013   \n",
       "13       0.0432      0.096900          0.000031    0.0848   0.7770  100.041   \n",
       "14       0.4310      0.010200          0.021900    0.1650   0.2810  150.062   \n",
       "15       0.0358      0.198000          0.000000    0.2120   0.5040  123.071   \n",
       "16       0.1090      0.075000          0.000000    0.1870   0.7820   98.064   \n",
       "17       0.0989      0.023200          0.000011    0.1400   0.4710  135.007   \n",
       "18       0.0523      0.406000          0.000000    0.1800   0.7420  101.965   \n",
       "19       0.1080      0.052400          0.000000    0.1400   0.7080  124.982   \n",
       "20       0.0993      0.014800          0.000006    0.1300   0.2940  103.809   \n",
       "21       0.0479      0.006830          0.210000    0.1550   0.2980  167.880   \n",
       "22       0.0590      0.695000          0.000000    0.0902   0.4940   85.043   \n",
       "23       0.0583      0.381000          0.000000    0.0913   0.9660  121.996   \n",
       "24       0.0677      0.023100          0.000000    0.0494   0.4260  104.823   \n",
       "25       0.0879      0.413000          0.000000    0.0609   0.4200  113.804   \n",
       "26       0.1000      0.073500          0.000000    0.3270   0.7810   99.943   \n",
       "27       0.0576      0.089500          0.000000    0.2610   0.1950  137.972   \n",
       "28       0.0338      0.414000          0.000000    0.1110   0.6610   95.010   \n",
       "29       0.0563      0.259000          0.000016    0.1380   0.4570  122.863   \n",
       "..          ...           ...               ...       ...      ...      ...   \n",
       "70       0.0313      0.027500          0.000000    0.1090   0.2220  119.972   \n",
       "71       0.0484      0.084700          0.000000    0.1490   0.4300  130.049   \n",
       "72       0.0421      0.199000          0.000017    0.1650   0.3940  136.949   \n",
       "73       0.0553      0.124000          0.000000    0.1240   0.1300  105.969   \n",
       "74       0.1130      0.118000          0.000000    0.0424   0.5060   99.905   \n",
       "75       0.0853      0.256000          0.000005    0.1700   0.2860  141.971   \n",
       "76       0.0491      0.652000          0.000000    0.1730   0.5340   91.920   \n",
       "77       0.0824      0.003830          0.000002    0.0574   0.3740  114.991   \n",
       "78       0.1410      0.213000          0.000016    0.1220   0.4970  128.062   \n",
       "79       0.0522      0.032300          0.000026    0.1120   0.3560  139.994   \n",
       "80       0.1230      0.402000          0.000000    0.1020   0.5580   99.914   \n",
       "81       0.0502      0.400000          0.000000    0.1760   0.7100   93.974   \n",
       "82       0.0429      0.137000          0.000000    0.1840   0.6780  123.980   \n",
       "83       0.2470      0.040800          0.000000    0.2920   0.6030  159.145   \n",
       "84       0.1000      0.055900          0.000486    0.4400   0.7040   96.016   \n",
       "85       0.2530      0.535000          0.000003    0.1040   0.4190   91.970   \n",
       "86       0.0406      0.059200          0.000000    0.3370   0.1960  133.889   \n",
       "87       0.0432      0.073600          0.000000    0.1560   0.5010   92.943   \n",
       "88       0.0555      0.076700          0.000026    0.0813   0.3430  139.934   \n",
       "89       0.0363      0.003800          0.000000    0.3230   0.4480  145.017   \n",
       "90       0.0421      0.586000          0.003660    0.0927   0.4500  121.971   \n",
       "91       0.0488      0.158000          0.000000    0.0513   0.9620  117.959   \n",
       "92       0.1380      0.246000          0.000000    0.1290   0.4270  143.965   \n",
       "93       0.0387      0.004590          0.000000    0.3060   0.6490  104.990   \n",
       "94       0.3510      0.015100          0.000007    0.0871   0.3760   75.016   \n",
       "95       0.1320      0.210000          0.000000    0.2870   0.2720  137.817   \n",
       "96       0.1970      0.160000          0.004660    0.1370   0.4030  159.797   \n",
       "97       0.0326      0.463000          0.000001    0.1030   0.6310   98.963   \n",
       "98       0.0367      0.105000          0.000001    0.1250   0.4340  110.075   \n",
       "99       0.0390      0.101000          0.000001    0.1060   0.0967  180.043   \n",
       "\n",
       "    duration_ms  time_signature  \n",
       "0      233713.0             4.0  \n",
       "1      228827.0             4.0  \n",
       "2      228200.0             4.0  \n",
       "3      247160.0             4.0  \n",
       "4      288600.0             4.0  \n",
       "5      177000.0             4.0  \n",
       "6      220781.0             4.0  \n",
       "7      233902.0             4.0  \n",
       "8      206693.0             4.0  \n",
       "9      245200.0             4.0  \n",
       "10     182707.0             4.0  \n",
       "11     221507.0             4.0  \n",
       "12     210091.0             4.0  \n",
       "13     211475.0             4.0  \n",
       "14     204600.0             4.0  \n",
       "15     220293.0             4.0  \n",
       "16     216409.0             4.0  \n",
       "17     261154.0             4.0  \n",
       "18     251088.0             4.0  \n",
       "19     204347.0             4.0  \n",
       "20     189440.0             4.0  \n",
       "21     187147.0             4.0  \n",
       "22     211467.0             4.0  \n",
       "23     199440.0             4.0  \n",
       "24     205715.0             4.0  \n",
       "25     176320.0             4.0  \n",
       "26     170827.0             4.0  \n",
       "27     220883.0             4.0  \n",
       "28     244960.0             4.0  \n",
       "29     212459.0             4.0  \n",
       "..          ...             ...  \n",
       "70     340707.0             4.0  \n",
       "71     243837.0             4.0  \n",
       "72     202547.0             4.0  \n",
       "73     221904.0             4.0  \n",
       "74     234308.0             4.0  \n",
       "75     180823.0             4.0  \n",
       "76     201000.0             4.0  \n",
       "77     198774.0             4.0  \n",
       "78     211859.0             4.0  \n",
       "79     220454.0             4.0  \n",
       "80     181933.0             4.0  \n",
       "81     222560.0             4.0  \n",
       "82     201160.0             4.0  \n",
       "83     226160.0             4.0  \n",
       "84     209453.0             4.0  \n",
       "85     197437.0             4.0  \n",
       "86     195840.0             4.0  \n",
       "87     185352.0             4.0  \n",
       "88     231907.0             4.0  \n",
       "89     197640.0             4.0  \n",
       "90     192846.0             4.0  \n",
       "91     180757.0             4.0  \n",
       "92     271080.0             4.0  \n",
       "93     189467.0             4.0  \n",
       "94     220307.0             4.0  \n",
       "95     239293.0             4.0  \n",
       "96     208053.0             4.0  \n",
       "97     165387.0             4.0  \n",
       "98     214802.0             4.0  \n",
       "99     239000.0             4.0  \n",
       "\n",
       "[100 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x110f0fa58>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f,ax = plt.subplots(figsize=(18, 18))\n",
    "sns.heatmap(data.corr(), annot=True, linewidths=.5, fmt= '.1f',ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "specific = [\"energy\", \"liveness\", \"tempo\", \"valence\", \"loudness\", \"speechiness\", \"acousticness\", \"danceability\", \"instrumentalness\"]\n",
    "text1 = data[\"artists\"] + \" - \" + data[\"name\"]\n",
    "text2 = text1.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = data[specific].values\n",
    "y = data[\"danceability\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 6.52000e-01,  9.31000e-02,  9.59770e+01,  9.31000e-01,\n",
       "        -3.18300e+00,  8.02000e-02,  5.81000e-01,  8.25000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 8.15000e-01,  9.24000e-02,  8.89310e+01,  8.13000e-01,\n",
       "        -4.32800e+00,  1.20000e-01,  2.29000e-01,  6.94000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 7.86000e-01,  1.12000e-01,  1.77833e+02,  8.46000e-01,\n",
       "        -4.75700e+00,  1.70000e-01,  2.09000e-01,  6.60000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 6.35000e-01,  1.64000e-01,  1.03019e+02,  4.46000e-01,\n",
       "        -6.76900e+00,  3.17000e-02,  4.98000e-02,  6.17000e-01,\n",
       "         1.44000e-05],\n",
       "       [ 6.68000e-01,  1.67000e-01,  8.09240e+01,  8.11000e-01,\n",
       "        -4.28400e+00,  3.67000e-02,  5.52000e-02,  6.09000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 6.11000e-01,  9.76000e-02,  1.50020e+02,  4.00000e-01,\n",
       "        -6.84200e+00,  8.88000e-02,  2.59000e-04,  9.04000e-01,\n",
       "         2.03000e-05],\n",
       "       [ 5.33000e-01,  8.64000e-02,  9.99680e+01,  5.15000e-01,\n",
       "        -6.59600e+00,  7.06000e-02,  1.19000e-01,  6.40000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 7.69000e-01,  1.04000e-01,  9.79850e+01,  7.33000e-01,\n",
       "        -5.04300e+00,  1.23000e-01,  2.93000e-02,  7.26000e-01,\n",
       "         1.01000e-02],\n",
       "       [ 5.60000e-01,  9.44000e-02,  1.34066e+02,  8.60000e-01,\n",
       "        -4.96100e+00,  4.06000e-02,  1.30000e-02,  8.53000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 4.51000e-01,  3.25000e-01,  1.17973e+02,  8.62000e-02,\n",
       "        -8.37400e+00,  5.85000e-02,  6.31000e-02,  7.35000e-01,\n",
       "         1.30000e-05],\n",
       "       [ 7.50000e-01,  1.09000e-01,  1.55096e+02,  4.01000e-01,\n",
       "        -6.36600e+00,  2.31000e-01,  2.64000e-03,  7.32000e-01,\n",
       "         0.00000e+00],\n",
       "       [ 6.58000e-01,  9.39000e-02,  9.99900e+01,  2.19000e-01,\n",
       "        -6.42800e+00,  3.04000e-02,  2.15000e-02,  6.53000e-01,\n",
       "         1.66000e-06],\n",
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       "        -4.90200e+00,  3.67000e-02,  1.05000e-01,  6.58000e-01,\n",
       "         1.28000e-06],\n",
       "       [ 4.37000e-01,  1.06000e-01,  1.80043e+02,  9.67000e-02,\n",
       "        -6.59300e+00,  3.90000e-02,  1.01000e-01,  2.58000e-01,\n",
       "         1.27000e-06]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_max_scaler = MinMaxScaler()\n",
    "X = min_max_scaler.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=3)\n",
    "pca.fit(X)\n",
    "\n",
    "X = pca.transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script><script type=\"text/javascript\">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script><script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window._Plotly) {require(['plotly'],function(plotly) {window._Plotly=plotly;});}</script>"
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     "metadata": {},
     "output_type": "display_data"
    }
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   "source": [
    "import plotly.offline as py\n",
    "py.init_notebook_mode(connected=True)\n",
    "import plotly.graph_objs as go\n",
    "import plotly.tools as tls"
   ]
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  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "trace = go.Scatter3d(\n",
    "    x=X[:,0],\n",
    "    y=X[:,1],\n",
    "    z=X[:,2],\n",
    "    text=text2,\n",
    "    mode=\"markers\",\n",
    "    marker=dict(\n",
    "        size=12,\n",
    "        color=y\n",
    "    )\n",
    ")\n"
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  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = go.Figure(data=[trace])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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\"linkText\": \"Export to plot.ly\", \"plotlyServerURL\": \"https://plot.ly\"})});</script><script type=\"text/javascript\">window.addEventListener(\"resize\", function(){window._Plotly.Plots.resize(document.getElementById(\"7b9caf92-13a9-4467-8de1-473ac6d0bb38\"));});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "py.iplot(fig, filename=\"test-graph\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for danceability: 0.6968199999999999\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning:\n",
      "\n",
      "Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "\n"
     ]
    },
    {
     "data": {
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t0x2jVNyScNYfaGEw6Fg+TS9KvpWbl00i6Bw/XXfI6yhyBipuSSiDwSDrao4zfUJW3N+a7FxMLhjH5bMm8OC6Wl1JGYNU3JJQttW109k3yEXnFXodJeatXjGF4139PL7tqNdR5DSa4JOEEQw6nt/bRElOOtMnZHkdJ6Y8uK72zz7mnKMoO41v/X4PvQNDWBgbcN28bFIk4slpNOKWhPHsnkYaO/u4eHphWCWU6MyMFdMKONLWQ62upIwpKm5JGN9/roa8jBTml+d5HcU3FlXkk54S4OX9x72OIqdQcUtC2FTbyvoDLVx0XqEuuBmF1OQAVZPHs7O+nbbufq/jSIiKWxLC3c/tJzcjharKxN1z+2ydXDb50r5mj5PISSpuiXv7m07w9K5jfGT5ZNKSk7yO4zv5maksKM9jw8FWuvsGvY4jqLglAXxv7X7SkgPcuqLS6yi+dfGMIvqHgrxyQHPdsUDFLXHt0PEuHt1yhFuWTaYwK83rOL5VkpPOrJJsXtl/nP5B7RroNRW3xLXvrd1PUsD42CVTvY7ie5fOKKK7f4jqQy1eR0l4Km6JW3Ut3Tyy6TA3L53EBF3efs4mF4xjckEmL+xtZijovI6T0FTcErf+97n9BMz42KUabY+VS2cU0d4zwObaVq+jJDQVt8Sl+rYeflFdx41V5ZTm6n6SY2VmcTYT8zJYu7tRo24PqbglLn37mX0AfPyyaR4niS9mxuXnT6C1e4BNGnV7RsUtcedAcxc/r67j5qWTKM/P9DpO3JlZnE15fgbP7m5kMKgVJl5QcUvc+ebTu0lLDvDJldO9jhKXzIzLZw2PujcfavM6TkJScUtc2XGknd9uO8ptF02hKFvrtiNlRmjUvXaPRt1eUHFLXPn6U7vJy0zhTq0kiajhUXcxbd0DVB/UXHe0qbglbrxac5zn9jTx8UunkZOe4nWcuDejOIvJ4zNZu7tRV1NGmYpb4kIw6Pj3x3dRmpuuPUmixMy4ck4Jnb2DvFKjPUyiScUtceGXGw+z40gHX7x6Fukp2gEwWqYUjmNGcRbP72mip183FY4WFbf4XmfvAF97ajeLJ+Vx/YIyr+MknCtnl9AzMMQL+5q8jpIwVNzie99du5/mE318+V1zdC9JD5TlZTBvYi4v7WumqbPP6zgJQcUtvnboeBf3vXiAGxaXs6BC95L0yhWzixkKOr79zF6voyQEFbf4lnOOrzy2i+Qk4wurZnodJ6EVZqVRVTmeB9fVcqC5y+s4cU/FLb71u+0NPPN6I5+5YgbF2rbVc5fPmkBKUoBvPL3b6yhxL9nrACLheHBd7Zve7x0Y4v/+fg9luemkJSf92ecl+rLTU7jj4in8zzP7uPPiNk1dRZBG3OJLT+1s4ETfIO9ZNJGkgF6QjBV3XjqNgnGp/McTr+Gctn2NFBW3+E7t8S7WH2hh+bQC7f4XY7LSkvnby6fzak0Lz+7W8sBIUXGLrwwMBXlk0xFyMlK44vxir+PIGXxw6SQmF2Ty1Sde180WIkTFLb7y9M4Gmk708ZeLJpKmKyRjUmpygC9cNYvdxzp5ZONhr+PEJRW3+EZN8wle3n+cZVPGM7042+s48jaumVfCokl5fPP3u+nuH/Q6TtxRcYsv9A0M8cjGw4wfl8rVc0u9jiMjMDP+8ZrzOdbRx30vHvA6TtxRcYsv/Hb7Udq6B3jfBeWkJuvb1g+WVI7nytnFfP+5GppP6FL4sTTiOm4zuw+4Dmh0zs2NfCSRN3t08xE2HmrlsplFTC4Y53UceRunr6efU5bLH147xid+uol3L5wY1jFuXjYpEtHiSjhDl/uBVRHOIXJG+5tO8I+/3k5lQSaXz9IqEr8pyk5j6ZTxbDjYQmNnr9dx4saIxe2cex5oiUIWkTfpHRjiEz/dRFpygPcvmaQLbXxq5axiUpICPLWjwesocUOThRKzvvLYLl5v6ORbNy0kN0O3IvOrrLRkLptRxGsNndQ0nfA6TlwYs+I2szvNrNrMqpuadMWUnJsH19Xy0Ppa/vrSabxz1gSv48g5WnFeIXkZKfxux1GCuhT+nI1ZcTvn7nHOVTnnqoqKisbqsJKANh5q4ctrdnDJjCI+f5W2a40HKUkBrpxTTH1bL1vr2ryO43uaKpGY0tDey1//ZBNleRl8+wOLNK8dR+aX5zExL4Ondx3TXeHP0YjFbWYPAa8AM83ssJndHvlYkoh6+of42I+r6eob5N6PVJGbqXnteBIw45p5pbT3DPCi7k95TkZcx+2c+2A0gkhiCwYdf/+zLWw70s7dH7qAGbqkPS5NKRzHnLIcntvTRNXk8eToReezoqkSiQn/8cRrPLmzgX++djZXzinxOo5E0Ko5JQQd/H7XMa+j+JaKWzz341cPce8LB7h1+WRuu6jS6zgSYQVZaayYWsCm2lbq23q8juNLKm7x1JM7Gvjyb3Zw+awJfOldczDTi5GJ4LKZE8hITeLx7Ud1p5yzoOIWz7yy/zh/+/BmFlTk8e2btYIkkWSkJnHF7GIONHexo77D6zi+o+IWT+w40s4dD1QzaXwm9926hMxU3bc60SypHE9JTjpPbD+q5YGjpOKWqNvfdILVP1pPTnoyD9y2lPxxqV5HEg8EzLhuQSltPQO8sFfLA0dDxS1RVdfSzS33rsM5eOD2ZZTlZXgdSTw0tTCLuRNzeX5vE23d/V7H8Q0Vt0TN0fYebv7Bq/QMDPHj25dx3oQsryNJDLh6bgnOwe+0e2DYVNwSFY2dvdzyg3W0dg3wwG1LmV2W43UkiRH5malcOqOIHUfa2dvY6XUcX1BxS8Q1dvbywXtepaG9l/tWL2FBRZ7XkSTGXDKjiPHjUlmzpZ6+wSGv48Q8FbdEVGNnLzffu46j7b38aPUSlk4Z73UkiUEpSQGuX1DG8a5+7n2+xus4MU/FLRHT2DFc2vVtPfxo9RKWTS3wOpLEsBnF2cwpy+Hbz+yjrqXb6zgxTcUtEVHf1sP773mV+rYe7lNpS5iunVdKUsD48pqduqLybai4ZczVtXRz092v0NzZx49vX8qFKm0JU15mKp+5YgbPvN7IY9uOeh0nZqm4ZUztbzrBTXe/QmfvID+9YxkXTNactozORy+awoKKPO5as5OWLq3tPhMVt4yZHUfauen7rzAwFOShOy5kfrlWj8joJQWMr90wn87eAf71sZ1ex4lJ2iBC3tKD62rDfmxN8wl+/MohMlKTuG3FFLbUtbFF9xaUszSzJJtPvPM8/usPe7l+YRkrZxV7HSmmaMQt52xXfTv3v3SQnIwUPnbJNAqz0ryOJHHgby47j5nF2fzDr7bTqimTN1Fxyzl5peY4P11XS2luOndePJVc3YpKxkhqcoBv3rSAlq5+/vHX27XK5BQqbjkrQed4csdRHttaz6zSHG5/x1TGpWnmTcbW3Im5fO7KmTyxo4FfbDzsdZyYoeKWUesfDPLQ+lqe39vMsinjuWXZJFKT9a0kkXHHxVNZPrWAu9bs5GBzl9dxYoJ+2mRUWrv7ufv5/eyq7+CauSVcv6CMgG43JhEUCBjfvGkBKUkBPv3wZu1lgopbRqGm+QTfe3Y/LV393LqikndML9I9IiUqyvIy+M8b5rP1cDt3rdnldRzPqbhlREHneOb1Rn74wgEyUgJ8/LJpzCjO9jqWJJhVc0v4m8um8dD62lEtVY1HejUpxozVN+TNyyaNyXE6ewf4RfVh9jWdYEF5Lu9ZOJG0lKQxObbIaH32ypnsqO/gy2t2MLMkmwsm53sdyRMaccsZOefYXNvKf/1hLwePd/HeRRO5qapCpS2eSgoY//OBhZTmZvDxn2zkcGti7iKo4pY/c6Sth9vu38AvNh6mKDuNT648jyWV4zWfLTEhLzOVez9SRe/AEB/54XqOn+jzOlLUqbjlDe09A/zHE6/xzm88y6s1LVw3v5Q7L5nKhOx0r6OJvMnMkmzuW72E+vYeVv9oAyf6Br2OFFUqbqG1q5/vrt3HpV9fyz3P13Dd/FL+8NlLWTGtUEv9JGZVVY7ne7csZtfRDu58oJqe/sRZJqgXJxOUc45th9t5aH0tv958hL7BIJfMKOILV81k7sRcr+OJhGXlrGK+ceN8PvPzrXz4h+v44a1LyM2M/20XVNwJpKWrn611bTy7u5Gndx3jaHsv6SkB/nJxOatXVDKzREv8xH/eu6ictOQk/u7hLbz/nld44LalTMiJ7+k9FbeHBoaCtHb109YzQFffIN39Q7x2tIOhoCPoHM7ByZkKMyPJjKQAJAUCBGz4FfaAGWZwcv+d/qEg/YNBfrPlCI0dfRxp6+FIWw+vHe3gcGsPAGnJAS6ZUcRnr5zJFecXJ8QIReLbNfNKyUlP4c4fV3PD91/mng9XcX5pjtexIsYiseNWVVWVq66uHvPj+k1P/xD7m05w8HgXB5u7qGvpob69h/q2Hho7++jsjfwLKllpyZTlpTN9Qjbzy3OZX57HgopcMlNH/p2d6Bc5iDfO5RqErXVt3PFANe09A3zl+jm8f0mFb1ZDmdlG51xVOI/ViHuMHOvo5TvP7ONIWw8N7b00dPTS2tXPqb8Ws9KSyctMITcjhTlluYxLS2JcajKZqUmkJQdITU4iJcneNJLGgWP46sWgg2DQMRgakQeDjqFTfvEakJIUIDU5wA0XlFOUnUZOukbTkjgWVOTx+N9ezN//bAtf/NV21h1o4a7r58TddsMq7rPQOzDE1ro2Nte1sbm2lS11bRzrGF5LakBBVhplueksqshjQk46hVmpFIxLi+oOetOKsqL2XCKxpCg7jf9321K+88w+/vuPe3h+TxNfvHoWNywuJxDwx+h7JCruMDR29rLxYCvVh4b/7DzSzmBweKRbWZDJ8qkFzC/Po6G9l9K8dNKSdXWhiJeSAsan/2I6l58/gS/9Zgef/+U2Hlpfy+eunMnyaQW+mT55Kyru0wwOBdl9rJNNtW1sOtTKxkOt1LYMX1ablhxgQUUed1wylarJ+SyalM/4calvfK3mhEViy9yJufzyr1fwyKbDfO2p3dz8g3XMm5jLnZdMZdXcElKS/HkpS1jFbWargP8GkoAfOOe+GtFUUTIwFGR/0wl21Xews76DbYfb2H6knd6BIACFWWlcMDmPD184mQsq85lblqsbBoj4TCBg3FhVwbsWlPHrzUe49/kaPvXQZvIyU7h6bgnXzS9j6ZTxvirxEYvbzJKA7wJXAIeBDWa2xjnni01xnXO0dPVzqKWbupZuDjZ3s7exk32NJ6hp6qJ/aLik05IDzJ2Yy81LJ7OgIpfFk/Ipz8/w/T+pRGRYekoSH1w6ifdXVfDsnkbWbKlnzZZ6HlpfR2ZqEhdMzmfZlPHMK89jZnE2xTlpMfvzH86IeymwzzlXA2BmDwPvBiJS3M45hkKrJYZCKygGhxwDofXJfYNBegeG6B0Yort/iK6+QTp7B+noHaCjZ4CW7n5auvpp7uynoWN4dUf/YPCN45tBRX4m503I4pIZRcwuzWFOWQ5TCseR7KPfuCJydgIBY+WsYlbOKqZ3YIhndzfxyv5m1h1o4RtP73njcTnpyUwuGEdZXjqluRkUZaeRn5lKfmYKORkpZKQOrwrLSEkiNXl4NVdaciAq914N5xkmAnWnvH8YWBaJMLO/9CTd57DfgBlv/I8tyEpjYUUepbnplOSmM2l8JpMLMinPzyRdW5OKCMOj8FVzS1g1twSAtu5+Xm/oZM+xTnY3dFLX2kNNUxcv7Tse1kZWhVmpVP/zFZGOPXYvTprZncCdoXdPmNnusTr2aBwc/ZcUAs1jncNrt4T3sLg89zDp3GNUmN+7Zyui534IsH856y+fHO4DwynuI0DFKe+Xhz72Js65e4B7wn3iWGFm1eFerRRvdO4690QTL+cezqTuBmC6mU0xs1TgA8CayMYSEZG3MuKI2zk3aGafBJ5ieDngfc65nRFPJiIiZxTWHLdz7nfA7yKcxSu+m94ZQzr3xKRz97mI7A4oIiKRo4XLIiI+kzDFbWarzGy3me0zsy+e4fOfMbNdZrbNzP5oZmEvzYl1I537KY+7wcycmfn+VfeTwjl3M7sp9He/08wejHbGSAnje36Sma01s82h7/trvMgZCWZ2n5k1mtmOt/i8mdn/hP7fbDO+tGkEAAAFdUlEQVSzxdHOeE6cc3H/h+EXVfcDU4FUYCsw+7THvBPIDL39ceBnXueO1rmHHpcNPA+8ClR5nTuKf+/Tgc1Afuj9CV7njuK53wN8PPT2bOCg17nH8PwvARYDO97i89cATzC8E/OFwDqvM4/mT6KMuN+4bN851w+cvGz/Dc65tc657tC7rzK8Xj0ejHjuIf8G/CfQG81wERbOud8BfNc51wrgnGuMcsZICefcHXDy/l65QH0U80WUc+55oOVtHvJu4AE37FUgz8xKo5Pu3CVKcZ/psv2Jb/P42xn+bRwPRjz30D8TK5xzj0czWBSE8/c+A5hhZi+Z2auhnTDjQTjnfhfwITM7zPCqsU9FJ1pMGG0nxBTtx30aM/sQUAVc6nWWaDCzAPAtYLXHUbySzPB0yWUM/yvreTOb55xr8zRVdHwQuN85900zWw782MzmOueCI32heCtRRtxhXbZvZn8B/BNwvXOuL0rZIm2kc88G5gLPmtlBhuf71sTJC5Th/L0fBtY45waccweAPQwXud+Fc+63Az8HcM69AqQzvJdHIgirE2JVohT3iJftm9ki4G6GSzte5jlhhHN3zrU75wqdc5XOuUqG5/evd85VexN3TIWzXcOjDI+2MbNChqdOaqIZMkLCOfda4HIAMzuf4eJuimpK76wBPhJaXXIh0O6cO+p1qHAlxFSJe4vL9s3sX4Fq59wa4OtAFvCL0Obptc656z0LPUbCPPe4FOa5PwVcaWa7gCHg8865496lHhthnvtngXvN7O8ZfqFytQstufA7M3uI4V/IhaE5/C8DKQDOue8zPKd/DbAP6AY+6k3Ss6MrJ0VEfCZRpkpEROKGiltExGdU3CIiPqPiFhHxGRW3iIjPqLglJpjZXWb2uVh7fjMrM7Nfht6+zMx+G3r7+pM77pnZe8xsdnQTSyJTcYu8DedcvXPufWf4+Brn3FdD776H4d31RKJCxS2eMbN/MrM9ZvYiMDP0sTvMbIOZbTWzR8wsM/Tx+0P7J79sZjVm9r5TjvN/zGx76Gu+GvrYNDN70sw2mtkLZjYr9PF3mdm60B7UfzCz4lMiLTCzV8xsr5ndEXp85Zn2dDaz1Wb2HTNbAVwPfN3MtoSed9Mpj5t+6vsiY0HFLZ4wswsYvgx7IcNXsC0JfepXzrklzrkFwGsM76dxUinwDuA64GRBX83wFp3LQl/ztdBj7wE+5Zy7APgc8L3Qx18ELnTOLWJ4q9MvnHL8+cBKYDnwJTMrG+k8nHMvM3z59Oedcwudc/uBdjNbGHrIR4EfhfG/RCRsCXHJu8Ski4Ffn9wD3cxOXno/18z+HchjeAuCp075mkdDO9ftOmWk/BfAj04exznXYmZZwAr+tH0BQFrov+XAz0J7L6cCB045/m+ccz1Aj5mtZXhP6y1ncW4/AD5qZp8B3h86jsiY0YhbYs39wCedc/OArzC88dFJp+7YaLy1ANAWGgGf/HN+6HPfBr4TOv7HTjv+6fs/nO1+EI8AVzP8L4ON8bD3icQWFbd45XngPWaWYWbZwLtCH88GjppZCnBLGMf5PcOj25Nz4eOdcx3AATO7MfQxM7MFocfn8qftO2897VjvNrN0MytgeIOiDWGeS2coNwDOuV6G/6Xwv2iaRCJAxS2ecM5tAn7G8L0Qn+BPJfkvwDrgJeD1MI7zJMNzzNVmtoXh+WwYLv3bzWwrsJM/3bbrLoanUDYCzacdbhuwluGtbf/NORfurbweBj4fesFzWuhjPwWCwNNhHkMkbNodUCQCQmvCc51z/+J1Fok/enFSZIyZ2a+BaQyvUBEZcxpxi4j4jOa4RUR8RsUtIuIzKm4REZ9RcYuI+IyKW0TEZ1TcIiI+8/8BIibCQoVByR4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for energy: 0.6606899999999999\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for mode: 0.58\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for speechiness: 0.10396899999999999\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for acousticness: 0.16630648999999997\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for instrumentalness: 0.0047961442\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for liveness: 0.15060700000000002\n"
     ]
    },
    {
     "data": {
      "image/png": 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MPBHpoSA3L5vNz3ecpKd/yOtyRHxPwe2RrbUtVM0t9OXGwBOxoaqMjr5BfvlGvdeliPiegtsDZzcGXjcvudYnuZDL5hVRUZjJo9WaAi8yWQpuD1RH1idJ1vHbowkEjNvXlPHy4WaONnd5XY6Irym4PVB9pIWMUJBlc/y7MfBEbKgqI2BodxyRSVJwe+CVw81UVRYQCk6vv/7ZeRlctaiYTdu0mbDIZEyv5EgAZ7r62Xuqg/XTYPz2aO6oKqe+rVebCYtMgoI7zrZExm9fNr/I40q8cd0lMynMSuXRao3pFpkoBXecbaltJj0U4NKyfK9L8URqSoD3rprDs3tO09yphadEJkLBHWevHG5hzdwCUlOm71/9HWvLGRhy/EQLT4lMyPRNDw+0dvez91Q76+dNz26SsxbNzGFVRT4Pbz2mhadEJkDBHUdba1twbvr2b49019oKDjV2UXNUmyyIjFc0mwWnm9lWM3vNzN4ws7+NR2HJaEttC2kpAVaUT6/x26O5ZcVsstNSeHjrxLdGE5muomlx9wHXOudWACuBG83sstiWlZxeOdzM6ooC0lKCXpfiuczUFG5dWcqTu+pp6xnwuhwRXxkzuN2wzsinochDHZPj1NYzwO76dtbPn57jt0dz19oKegfC/GyHblKKjMeYu7wDmFkQ2AZcBDzgnNsyyjH3AfcBVFRUTGWNSaF6mvdvn2+3+NK8dB587hBBszF3Arp7vX6uRCDKm5POuSHn3EqgDFhnZstGOWajc67KOVdVXFw81XX63pbaZlJTAqwsn57jt8+nqrKQ+rZeTrT2eF2KiG+Md5f3VmAzcGNsykleLx1sZnVFPukh9W+PtLI8n1DQ3twRSETGFs2okmIzy498nAFcD+yNdWHJpLmzj9317Vy5UL+JnCs9FGRFWT6v1bXSO6DdcUSiEU2Lezaw2cx2AtXAM865/4htWcnld4eaAbj8ohkeV5KY1s8rYmDIsf2YxnSLRGPMm5POuZ3AqjjUkrReOthETnoKy6fZ+tvRmlOQQVlBBltrW3jb/KIxb1KKTHeaORljzjleONDE2xcUEZwm+0tOxLrKQho6+jjS3O11KSIJT8EdY8daujnR2sMV6ia5oEvL8kkPBdhS2+x1KSIJT8EdYy8ebALUvz2W1JQAqysKeONEOx29mkkpciEK7hh76WATpXnpzJuR5XUpCW/dvEKGnGObFp4SuSAFdwwNhR2/O9TM5RfN0A23KJTkpDO/OIsttS3ak1LkAhTcMbT7ZDut3QNcsVDdJNG6fMGMN9d1EZHRKbhj6Gz/9tsXKLijtXhWDoVZqfwu8ncnIr9PwR1Dz+9v5OJZORTnpHldim8EzHjb/CKOtnRTd0ZDA0VGo+COkY7eAaqPtHD1Yk1zH6+ze3KenXEqIm8V1bKuMj4/3HKM10+0MRh2hMPnX9JURpceCrKmooCttS3cuGwWuekhr0sSSShqccfIvlMdpIcCVBRmel2KL71tQRFh57RqoMgoFNwxEHaO/ac7WFiSo2nuEzQjO43Fs3J45XAz/YNhr8sRSSgK7hiob+2lo2+QxbNyvC7F165aWEx3/xA1R9XqFhlJwR0De0+3Y8CimQruyaickcXcokxeONCkCTkiIyi4Y2DfqQ7KCjLITtO938m6elExbT0DvHa81etSRBJGNDvglJvZZjPbbWZvmNkn4lGYXzV19nHiTI+6SabI4pk5zMpN57cHGgmr1S0CRNfiHgQ+7ZxbAlwGfNzMlsS2LP/67b5GHLB4Zq7XpSQFM+PqRcU0dvTxzJ7TXpcjkhDGDG7nXL1zbnvk4w5gDzAn1oX51W/2NZCTlsLs/HSvS0kay+bkUZiVygObD+KcWt0i4+rjNrNKhrcx2xKLYvyud2CI5/Y2sHhWDgGtBjhlggHjmkXF7Kxr4+ndanWLRB3cZpYN/Bj4M+fc7y3dZmb3mVmNmdU0NjZOZY2+8cKBJrr6h1imvSWn3KqKAuYXZ/G1p/dphIlMe1EFt5mFGA7tHzjnHh/tGOfcRudclXOuqrh4eq7P8dSuevIyQiwozva6lKQTDBifvn4x+0938rMdJ7wuR8RT0YwqMeA7wB7n3D/GviR/6h8M88ye01y/ZKZmS8bITctmsbQ0l396dr9mU8q0Fk2L+3Lgg8C1ZrYj8rg5xnX5zkuHmujoHeTm5bO8LiVpBQLGn9+wmOMtPTxSrYW7ZPqKZlTJi845c85d6pxbGXk8GY/i/OSpXfXkpKVoU+AYu3pRMesqC/nGrw/Srk2FZZrSzMkpMDAU5undp7nukhLSUoJel5PUzIy/vmUJzV19/OPT+70uR8QTCu4p8MrhZlq7B7hp+WyvS5kWlpflce/6uXz/5SO8cbLN63JE4k7BPQWe3HWKzNQgVy+anqNpvPCZdy2mIDOVv/7p65oKL9OOgnuS+gfD/PL1eq69uIT0kLpJ4iUvM8Tnbr6E7cda2bStzutyROJKwT1Jv9nbwJnuAd6/pszrUqad96+ew9rKAr701B5Ot/d6XY5I3Ci4J2nTtjpKctK4UqNJ4s7M+Lv3XUrfQJhPPbpDXSYybSi4J6Gxo4/N+xp47+o5pAT1V+mFi0qy+R+3LuGlg818+/nDXpcjEhdKm0n42Y4TDIUdG1arm8RLH6gq593LZ/O1p/exQxsuyDSg4J4g5xybttWxojyfhdqizFNmxpfet5yZuen86cPbaenq97okkZhScE/QGyfb2Xuqgw26KZkQ8jJC/PPdq2ho7+PD36umu3/Q65JEYkbBPUGbttWRGgxw66WlXpciEasrCvjmXavYWdfKx3+wnYEhLUQlyUnBPQG9A0P8dMcJrl8yk7zMkNflyAg3LJ3FF9+zjM37Gvnc47s00kSSkrYhn4CfvHqC1u4BPvi2uV6XIqO4Z/1cGjv6+PqzB+jsHeSf7lhJRqomR0nyUIt7nJxzfPfFWpaW5rJ+XqHX5ch5fOK6hfz1LUv41e5T3LHxZRo0QUeSiFrc4/TCgSYONHTytdtXYNpXMmGZGR+5Yh4VhZnc//CrvOeBl/j7DZdy5cLJryfzwy2Jsxb43esrvC5BPKAW9zh958VainPSuGWFVgL0g+uXzOSxj76NtFCQD35nK/c//CoNHWp9i7+N2eI2s+8CtwANzrllsS8pcR1s6OC3+xv51PWLtO62jyybk8dTn7iSB587xIPPHWLzvgbuXlfBvZfNpbwwM+bffzAcprt/iJ7+IXoHhgg7CLvhm6ZpKQEyQkEyUoNkhIL6LU6iEk1XyfeAbwHfj20pie+7Lx0hNSWgX099KD0U5JPXL+K2laV89el9PPRiLRtfOMw7Fpdw/ZKZXDa/iMqizHEHp3OO7v4hznT3c6Z7gDNd/Zzp7qe1e4C2nuFHz8BQVOfKCAWZkZ1KSU46lTMymV+cTUFm6kQuV5LcmMHtnHvezCpjX0pia2jv5fHtdbx35RxmZKd5XY5M0PzibP7lnjXUt/Xw8JZjPFpTx2/2NgAwMzeNi0qyKc3LYHZ+BlmpQVKCAUJBo28gTEffIF19g2w7eob23gE6egZp6xmg/5zx4hmhIPmZIfIzQ8wtyiQnPYXM1BQyU4Okh4IEA0bADIejbyBM78AQXf1DNHX20dTRx55T7Ww7dgaAwqxUls/JY1VFPiU56XH/+5LENGU3J83sPuA+gIqK5GuRfmvzQQaHHB+7ZoHXpcgUmJ2XwafetZhPXr+Iw01dvHK4meraFo62dPP8gUYaOvpwowwBz0oNkpoSIDc9xMzcNBbNzKYgK5WCzFTyM0MUZKZOel125xynO/o43NjJ/tMdvHCgkd/ub6SsIIO3Lyhi+Zx8ggF1qUxnUxbczrmNwEaAqqqqpJr1cLylm4e3HuMDa8upnJHldTkyhcyMBcXZLCjO5p71/zkuf2AoTP9gmMEhx0A4TFpKgKzUFAIBi/moEjNjVm46s3LTefuCGXT0DvDa8Vaqj57h0Zo6nt3TwFULi1k9Nz+mdUji0nDAKHz92QOYGfdfu9DrUiROQsEAoQRZqjcnPcQVC4t5+0Uz2FvfwXP7G/jpjhO8cKCR0rwMrrukRDc1pxkF9xgOnO7gJ6/W8ZEr5jErT32MXkqk8dNeCJixpDSXS2bnsP90B0/uOsUffb+GKxfO4At/sJSLSrK9LlHiZMwmhZk9DLwMLDazOjP7SOzLShxfe3o/GaEgH7vmIq9LEQGGu1IWz8rl/usW8je3LOG1463c/M0XeGDzQS2sNU2MGdzOubucc7OdcyHnXJlz7jvxKCwR/O5QE7984xR/dOV8CrM0LEsSSzBgfPiKeTz76au57uISvvKrfbzngZfYU9/udWkSY4nRiZeAegeG+O+P72JuUSYfvVojSSRxleSk8+C9a3jwntWcbu/jtm+9xMbnD2llxCSm4D6Pb/z6AEeau/nSe5drZTnxhZuWz+bpT17FNYuL+dKTe7nnoS2cbO3xuiyJAQX3KHafbGfj84e5fU0Zl2v3dvGRwqxUvv3BNfzD+y9lZ10rN379eZ7aVe91WTLFFNznGBwK89nHd1KQGeLz777E63JExs3M+MDacp78xJXMK87mYz/Yzuce36nt3JKIhgOe48tP7WVnXRvfunsV+VonQhLcWEMkN6wuIz8jxI+2HueZ3ae5o6qCOQUZbzlGa+/4j1rcI/xsxwkeerGWP3zbXG7RXpKSBIIB44als/jwFfMYGHI8+NuDPLev4c3VCcWfFNwRu0+285c/3sm6ykL+6pYlXpcjMqUWFGdz/7ULWVqax9O7T/N/nz9MU2ef12XJBCm4gabOPv7432vIz0jlgXtWJ8xUZ5GplJEa5M615dy+pozTHb1889cHeOFAI0MaNug70z6hGtp7uXPjKzR19PPgvaspztGSrZK8zIxVFQX82TsXsXBmDk+9for3/ctL7Dje6nVpMg7TOrhPtQ2H9snWHr73X9ayqqLA65JE4iI3PcS96yu4Y2059W29vOeBl/jzx16jsUPdJ34wbYP7SFMXd258mYaOPr7/4XWsn1/kdUkicWVmrCjL5zefuYY/vno+P91xgqu/spkvP7WXZvV/J7RpORzw56+d5HOP7yIYML7/kXWsVktbprHstBQ+d9Ml3FFVztefPcC3nz/Ev/3uCPesr+Cey+YyL4o16Kdi5UYNS4zetArunv4h/veTu/n3V46xqiKfb929mjn5GWN/ocg0ML84m2/etYr7r1vIA5sP8q+/O8JDL9ayfl4hd6wt59qLSzS3IUFMi+AOhx2Pv3qCr/5qH6fae/njq+bzmRsWa/SIyCguKsnmn+5YyeduupjHttXxSPVxPvXoawQM1swt4JrFJawsz2dZaR55mSGvy52Wkjq4+wfDPLP7NA9sPsju+nZWlOXxzbtWsW5eodeliSS8ktx0Pv6Oi/jY1QvYUdfK5r0N/GZvA1/51b43jykryGBuUSa9/WHyMkNkpgZJSwmSHgqQEjACASNo9uYOPY63Dj00jIANbxLx+ok20kMB0lKCZKWlkJOeosbVeUQV3GZ2I/ANIAg85Jz7ckyrmoRw2LG7vp2f7zzJppo6mrv6KS/M4Bt3ruQPLi0loE1WRcYlEDBWVxSwuqKAT79rMS1d/bx+oo3XT7ax+2Q7J1p7ONjQSUfv5NZCefC3h37vuYxQkLyMEEXZqRRmpVKcnUZJbjozc9OG9+XMS6c0P4Pi7LRp9W97zOA2syDwAHA9UAdUm9kTzrndsS4uGr0DQ+w/3cEbJ9upPtLC8/ubaOrsIxgwrr24hLvXV3DVwmLtii0yRQqzUrlqUTFXLSp+87kfbjnGUNjRNzBE72CY3oEhhsJu+HGB6fXODe9qH3aOt180g96BIfoGw3T1DdLRO0hH7wCt3QO0dPXT1NXP4cYuGjp6GRh66zlDQWNm7nCIl+alMzvy56y8DGbmpjEzN52irFRSkqQFH02Lex1w0Dl3GMDMfgTcBkx5cHf2DdI3MER/ZIft7v4huvsH6ewboq1ngDNd/TR39dPQ3kvdmR7qznRz/EzPmzO/CjJDXLmwmKsjP1SaTCMSP8GAkZmWQuYE/9ndsHRWVMeFw44z3f2cau+lvrWX+vZeTrb2UN/aw8nWXqqPnOF0ez2D58wIDdi6UQ3+AAAGhklEQVTwfzpFWWkUZadSkJlKXmaI/IwQOekhstNTyE1PISMUJDM1hYzU4W6btJThP0MpRkogQChopAQjXUFmBAPD3T3x3LA5muCeAxwf8XkdsD4Wxaz54jP0DV54zzwzKMpKo6wgg2Vz8rjl0lKWluaytDSPsoKMafXrksh0FAgYRdlpFGWnsbQ0b9RjwmFHU2cf9W29nG7vpaGjj4b2Xpq6+mnq6KO5q5+9p9pp6xlu0Z8b8hNVkpPG1s+/c0rOdSFTdnPSzO4D7ot82mlm+y50/GQcAbZNzalmAE1Tc6qEoOtJbAl5PfdM/Eun9HomUcdUmfT1HAXsryb85XOjPTCa4D4BlI/4vCzy3Fs45zYCG6P9xonAzGqcc1Ve1zFVdD2JTdeT2Px0PdH01FcDC81snpmlAncCT8S2LBEROZ8xW9zOuUEz+xPgVwwPB/yuc+6NmFcmIiKjiqqP2zn3JPBkjGvxgq+6dqKg60lsup7E5pvrMactjEREfCU5RqOLiEwjSR/cZnajme0zs4Nm9tlRXk8zs0cir28xs8r4Vxm9KK7nKjPbbmaDZrbBixrHI4rr+ZSZ7TaznWb2azOLesiUF6K4no+a2S4z22FmL5pZQm9wOtb1jDju/WbmzCyhR2VE8f58yMwaI+/PDjP7Iy/qHJNzLmkfDN9MPQTMB1KB14Al5xzz34D/E/n4TuARr+ue5PVUApcC3wc2eF3zFFzPO4DMyMcfS4L3J3fEx7cCv/S67slcT+S4HOB54BWgyuu6J/n+fAj4lte1jvVI9hb3m9P1nXP9wNnp+iPdBvxb5ONNwHUWz7mr4zPm9TjnjjjndgIXnoKaGKK5ns3Oue7Ip68wPI8gUUVzPe0jPs0CEvkmUzT/fgC+CPw90BvP4iYg2utJeMke3KNN159zvmOcc4NAG5Co+5hFcz1+Mt7r+QjwVEwrmpyorsfMPm5mh4B/AO6PU20TMeb1mNlqoNw594t4FjZB0f68vT/SNbfJzMpHed1zyR7ckiTM7F6gCviK17VMlnPuAefcAuAvgYlPkPaYmQWAfwQ+7XUtU+jnQKVz7lLgGf7zt/GEkuzBHc10/TePMbMUIA9ojkt14xfV8gM+EtX1mNk7gc8DtzrnEnkX2/G+Pz8C3hPTiiZnrOvJAZYBz5nZEeAy4IkEvkE55vvjnGse8TP2ELAmTrWNS7IHdzTT9Z8A/jDy8QbgNy5ylyIBJdvyA2Nej5mtAr7NcGg3eFDjeERzPQtHfPpu4EAc6xuvC16Pc67NOTfDOVfpnKtk+B7Erc65Gm/KHVM078/sEZ/eCuyJY33R8/ruaKwfwM3AfobvJn8+8tz/ZPgHDCAdeAw4CGwF5ntd8ySvZy3DfXddDP/m8IbXNU/yep4FTgM7Io8nvK55ktfzDeCNyLVsBpZ6XfNkruecY58jgUeVRPn+/F3k/Xkt8v5c7HXNoz00c1JExGeSvatERCTpKLhFRHxGwS0i4jMKbhERn1Fwi4j4jIJbEp6ZdUb+LDWzTV7XI+I1DQeUhGdmnc65bK/rEEkUanGLb5hZpZm9Hvn4FTNbOuK158ysysyyzOy7ZrbVzF41s9sir3/IzB43s1+a2QEz+4cRX/suM3s5so75Y2aWHXn+yyPWAv9q5Lnbzex1M3vNzJ6P79+AyLCo9pwUSUCPAB8AvhCZpjzbOVdjZl9ieNmCD5tZPrDVzJ6NfM1KYBXQB+wzs38Gehhe6OmdzrkuM/tL4FNm9gDwXoZnzrnIuQD+BrjBOXdixHMicaUWt/jVowyvLQPDAX627/tdwGfNbAfDU7DTgYrIa792w+tr9AK7gbkML4y0BHgp8jV/GHm+jeH1pb9jZu8Dzq4J/hLwPTP7rwwvzC8Sd2pxiy9FWrzNZnYpcAfw0chLBrzfObdv5PFmtp7hlvZZQwz//BvwjHPurnO/h5mtA65j+D+IPwGudc59NHKudwPbzGyNcy5RV5OUJKUWt/jZI8BfAHlueNcfgF8Bf3p2F6PI6oIX8gpwuZldFDk+y8wWRfq585xzTwKfBFZEXl/gnNvinPsboJG3LhMqEhdqcYufbWJ4tb0vjnjui8DXgZ2Rhf5rgVvOdwLnXKOZfQh42MzSIk//FdAB/MzM0hlulX8q8tpXIkuzGvBrhleRE4krDQcUEfEZdZWIiPiMgltExGcU3CIiPqPgFhHxGQW3iIjPKLhFRHxGwS0i4jMKbhERn/n/fCiFJG408DgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean value for valence: 0.5170489999999999\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Mean value for danceability:\", data['danceability'].mean())\n",
    "sns.distplot(data['danceability'])\n",
    "plt.show()\n",
    "print(\"Mean value for energy:\", data['energy'].mean())\n",
    "sns.distplot(data['energy'])\n",
    "plt.show()\n",
    "print(\"Mean value for mode:\", data['mode'].mean())\n",
    "sns.distplot(data['mode'])\n",
    "plt.show()\n",
    "print(\"Mean value for speechiness:\", data['speechiness'].mean())\n",
    "sns.distplot(data['speechiness'])\n",
    "plt.show()\n",
    "print(\"Mean value for acousticness:\", data['acousticness'].mean())\n",
    "sns.distplot(data['acousticness'])\n",
    "plt.show()\n",
    "print(\"Mean value for instrumentalness:\", data['instrumentalness'].mean())\n",
    "sns.distplot(data['instrumentalness'])\n",
    "plt.show()\n",
    "print(\"Mean value for liveness:\", data['liveness'].mean())\n",
    "sns.distplot(data['liveness'])\n",
    "plt.show()\n",
    "print(\"Mean value for valence:\", data['valence'].mean())\n",
    "sns.distplot(data['valence'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "numeric = data.drop(['id','name','artists'], axis=1)\n",
    "small = numeric.drop(['tempo','duration_ms','key','loudness','time_signature'], axis=1)\n",
    "sns.set_palette('pastel')\n",
    "small.mean().plot.bar()\n",
    "plt.title('Mean Values of Audio Features')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}