diff --git a/your-code/Project_README.md b/your-code/Project_README.md
new file mode 100644
index 0000000..71616da
--- /dev/null
+++ b/your-code/Project_README.md
@@ -0,0 +1,52 @@
+<img src="https://bit.ly/2VnXWr2" alt="Ironhack Logo" width="100"/>
+
+# App Store vs Google Play?
+*Miguel Vian and Alona Sorochynska*
+
+*Data Squad 21 Lisbon 20/09/19*
+
+## Content
+- [Project Description](#project-description)
+- [Hypotheses / Questions](#hypotheses-/-questions)
+- [Dataset](#dataset)
+- [Workflow](#workflow)
+- [Organization](#organization)
+- [Links](#links)
+
+<a name="project-description"></a>
+
+## Project Description
+This Prject goal is to practice what we have learned in Machine Learning. By making chosing Dataset and making a Model through the sklearn library.
+
+<a name="hypotheses-/-questions"></a>
+
+## Hypotheses / Questions
+How accuratly can we predict a song to be in the top 200?
+or Top 10?
+
+<a name="dataset"></a>
+
+## Dataset
+Data sets removed from Spotify API
+
+[Dataset](https://components.one/datasets/billboard-200/)
+
+
+<a name="workflow"></a>
+
+## Workflow
+Data collection --> Data cleaning --> Model Testing --> Model Comparisons
+
+
+<a name="organization"></a>
+
+## Organization
+Trello 
+
+<a name="links"></a>
+
+## Links
+Include the links to your repository, slides and trello. Feel free to include any other links associated to your project. 
+
+[Repository](https://github.com/naivm/supervised-learning-project)  
+[Trello](https://trello.com/invite/b/Pxgi4jVk/4b6e916923c88d4310b78989f3650721/project-6)  
diff --git a/your-code/spotify_project.ipynb b/your-code/spotify_project.ipynb
new file mode 100644
index 0000000..7bd4019
--- /dev/null
+++ b/your-code/spotify_project.ipynb
@@ -0,0 +1,8169 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sqlite3\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create your connection.\n",
+    "cnx = sqlite3.connect('billboard-200.db')\n",
+    "\n",
+    "df_albums = pd.read_sql_query(\"SELECT * FROM albums\", cnx)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "df_acoustic_features = pd.read_sql_query(\"SELECT * FROM acoustic_features\", cnx)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>song</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_id</th>\n",
+       "      <th>date</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0Veyvc3n9AcLSoK3r1dA12</td>\n",
+       "      <td>Voices In My Head</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0555</td>\n",
+       "      <td>0.754</td>\n",
+       "      <td>142301.0</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.101</td>\n",
+       "      <td>-6.311</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>90.195</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>77JzXZonNumWsuXKy9vr3U</td>\n",
+       "      <td>Beasty</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.2920</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>152829.0</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.106</td>\n",
+       "      <td>-9.061</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>126.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>18yllZD0TdF7ykcREib8Z1</td>\n",
+       "      <td>I Did It</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.1530</td>\n",
+       "      <td>0.718</td>\n",
+       "      <td>215305.0</td>\n",
+       "      <td>0.454</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>-9.012</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>89.483</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1wJRveJZLSb1rjhnUHQiv6</td>\n",
+       "      <td>Swervin (feat. 6ix9ine)</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0153</td>\n",
+       "      <td>0.581</td>\n",
+       "      <td>189487.0</td>\n",
+       "      <td>0.662</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.111</td>\n",
+       "      <td>-5.239</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.303</td>\n",
+       "      <td>93.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.434</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0jAfdqv18goRTUxm3ilRjb</td>\n",
+       "      <td>Startender (feat. Offset and Tyga)</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0235</td>\n",
+       "      <td>0.736</td>\n",
+       "      <td>192779.0</td>\n",
+       "      <td>0.622</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.151</td>\n",
+       "      <td>-4.653</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>191.971</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.506</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       id                                song       album  \\\n",
+       "0  0Veyvc3n9AcLSoK3r1dA12                   Voices In My Head  Hoodie SZN   \n",
+       "1  77JzXZonNumWsuXKy9vr3U                              Beasty  Hoodie SZN   \n",
+       "2  18yllZD0TdF7ykcREib8Z1                            I Did It  Hoodie SZN   \n",
+       "3  1wJRveJZLSb1rjhnUHQiv6             Swervin (feat. 6ix9ine)  Hoodie SZN   \n",
+       "4  0jAfdqv18goRTUxm3ilRjb  Startender (feat. Offset and Tyga)  Hoodie SZN   \n",
+       "\n",
+       "                   artist  acousticness  danceability  duration_ms  energy  \\\n",
+       "0  A Boogie Wit da Hoodie        0.0555         0.754     142301.0   0.663   \n",
+       "1  A Boogie Wit da Hoodie        0.2920         0.860     152829.0   0.418   \n",
+       "2  A Boogie Wit da Hoodie        0.1530         0.718     215305.0   0.454   \n",
+       "3  A Boogie Wit da Hoodie        0.0153         0.581     189487.0   0.662   \n",
+       "4  A Boogie Wit da Hoodie        0.0235         0.736     192779.0   0.622   \n",
+       "\n",
+       "   instrumentalness  key  liveness  loudness  mode  speechiness    tempo  \\\n",
+       "0          0.000000  6.0     0.101    -6.311   0.0        0.427   90.195   \n",
+       "1          0.000000  7.0     0.106    -9.061   0.0        0.158  126.023   \n",
+       "2          0.000046  8.0     0.116    -9.012   1.0        0.127   89.483   \n",
+       "3          0.000000  9.0     0.111    -5.239   1.0        0.303   93.023   \n",
+       "4          0.000000  6.0     0.151    -4.653   0.0        0.133  191.971   \n",
+       "\n",
+       "   time_signature  valence                album_id        date  \n",
+       "0             4.0    0.207  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  \n",
+       "1             4.0    0.374  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  \n",
+       "2             4.0    0.196  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  \n",
+       "3             4.0    0.434  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  \n",
+       "4             4.0    0.506  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_acoustic_features.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>185233.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>21 Savage</td>\n",
+       "      <td>I Am &gt; I Was</td>\n",
+       "      <td>2</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>211050.733333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>Soundtrack</td>\n",
+       "      <td>Spider-Man: Into The Spider-Verse</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>190866.384615</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2019-01-19</td>\n",
+       "      <td>Meek Mill</td>\n",
+       "      <td>Championships</td>\n",
+       "      <td>4</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>219173.894737</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   id        date                  artist                              album  \\\n",
+       "0   1        None                    None                               None   \n",
+       "1   2  2019-01-19  A Boogie Wit da Hoodie                         Hoodie SZN   \n",
+       "2   3  2019-01-19               21 Savage                       I Am > I Was   \n",
+       "3   4  2019-01-19              Soundtrack  Spider-Man: Into The Spider-Verse   \n",
+       "4   5  2019-01-19               Meek Mill                      Championships   \n",
+       "\n",
+       "   rank  length   track_length  \n",
+       "0  None     NaN            NaN  \n",
+       "1     1    20.0  185233.800000  \n",
+       "2     2    15.0  211050.733333  \n",
+       "3     3    13.0  190866.384615  \n",
+       "4     4    19.0  219173.894737  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
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+       "        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>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>3.398500e+05</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "      <td>339850.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>0.298806</td>\n",
+       "      <td>0.541176</td>\n",
+       "      <td>2.367351e+05</td>\n",
+       "      <td>0.616716</td>\n",
+       "      <td>0.098277</td>\n",
+       "      <td>5.239526</td>\n",
+       "      <td>0.233439</td>\n",
+       "      <td>-9.072759</td>\n",
+       "      <td>0.705700</td>\n",
+       "      <td>0.092625</td>\n",
+       "      <td>119.933974</td>\n",
+       "      <td>3.887547</td>\n",
+       "      <td>0.506169</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.315533</td>\n",
+       "      <td>0.170821</td>\n",
+       "      <td>1.022557e+05</td>\n",
+       "      <td>0.244043</td>\n",
+       "      <td>0.241980</td>\n",
+       "      <td>3.553370</td>\n",
+       "      <td>0.215256</td>\n",
+       "      <td>4.601032</td>\n",
+       "      <td>0.455728</td>\n",
+       "      <td>0.128894</td>\n",
+       "      <td>30.380899</td>\n",
+       "      <td>0.453673</td>\n",
+       "      <td>0.253193</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.062000e+03</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-60.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.021500</td>\n",
+       "      <td>0.425000</td>\n",
+       "      <td>1.865218e+05</td>\n",
+       "      <td>0.440000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>0.098200</td>\n",
+       "      <td>-11.575000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.033400</td>\n",
+       "      <td>96.188250</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.302000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.164000</td>\n",
+       "      <td>0.547000</td>\n",
+       "      <td>2.263730e+05</td>\n",
+       "      <td>0.647000</td>\n",
+       "      <td>0.000053</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>0.141000</td>\n",
+       "      <td>-8.121000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.044700</td>\n",
+       "      <td>118.223000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.506000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>0.546000</td>\n",
+       "      <td>0.664000</td>\n",
+       "      <td>2.710000e+05</td>\n",
+       "      <td>0.822000</td>\n",
+       "      <td>0.011100</td>\n",
+       "      <td>8.000000</td>\n",
+       "      <td>0.299000</td>\n",
+       "      <td>-5.679000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.084000</td>\n",
+       "      <td>139.288000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.712000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>0.996000</td>\n",
+       "      <td>0.988000</td>\n",
+       "      <td>4.734079e+06</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>11.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.744000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.968000</td>\n",
+       "      <td>247.824000</td>\n",
+       "      <td>5.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        acousticness   danceability   duration_ms         energy  \\\n",
+       "count  339850.000000  339850.000000  3.398500e+05  339850.000000   \n",
+       "mean        0.298806       0.541176  2.367351e+05       0.616716   \n",
+       "std         0.315533       0.170821  1.022557e+05       0.244043   \n",
+       "min         0.000000       0.000000  1.062000e+03       0.000000   \n",
+       "25%         0.021500       0.425000  1.865218e+05       0.440000   \n",
+       "50%         0.164000       0.547000  2.263730e+05       0.647000   \n",
+       "75%         0.546000       0.664000  2.710000e+05       0.822000   \n",
+       "max         0.996000       0.988000  4.734079e+06       1.000000   \n",
+       "\n",
+       "       instrumentalness            key       liveness       loudness  \\\n",
+       "count     339850.000000  339850.000000  339850.000000  339850.000000   \n",
+       "mean           0.098277       5.239526       0.233439      -9.072759   \n",
+       "std            0.241980       3.553370       0.215256       4.601032   \n",
+       "min            0.000000       0.000000       0.000000     -60.000000   \n",
+       "25%            0.000000       2.000000       0.098200     -11.575000   \n",
+       "50%            0.000053       5.000000       0.141000      -8.121000   \n",
+       "75%            0.011100       8.000000       0.299000      -5.679000   \n",
+       "max            1.000000      11.000000       1.000000       3.744000   \n",
+       "\n",
+       "                mode    speechiness          tempo  time_signature  \\\n",
+       "count  339850.000000  339850.000000  339850.000000   339850.000000   \n",
+       "mean        0.705700       0.092625     119.933974        3.887547   \n",
+       "std         0.455728       0.128894      30.380899        0.453673   \n",
+       "min         0.000000       0.000000       0.000000        0.000000   \n",
+       "25%         0.000000       0.033400      96.188250        4.000000   \n",
+       "50%         1.000000       0.044700     118.223000        4.000000   \n",
+       "75%         1.000000       0.084000     139.288000        4.000000   \n",
+       "max         1.000000       0.968000     247.824000        5.000000   \n",
+       "\n",
+       "             valence  \n",
+       "count  339850.000000  \n",
+       "mean        0.506169  \n",
+       "std         0.253193  \n",
+       "min         0.000000  \n",
+       "25%         0.302000  \n",
+       "50%         0.506000  \n",
+       "75%         0.712000  \n",
+       "max         1.000000  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_acoustic_features.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>573947.000000</td>\n",
+       "      <td>492547.000000</td>\n",
+       "      <td>4.688670e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>286974.000000</td>\n",
+       "      <td>13.728933</td>\n",
+       "      <td>2.443541e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>165684.371812</td>\n",
+       "      <td>7.960640</td>\n",
+       "      <td>7.195498e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.542290e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>143487.500000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>2.100814e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>286974.000000</td>\n",
+       "      <td>12.000000</td>\n",
+       "      <td>2.372190e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>430460.500000</td>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>2.680566e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>573947.000000</td>\n",
+       "      <td>666.000000</td>\n",
+       "      <td>4.457023e+06</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  id         length  track_length\n",
+       "count  573947.000000  492547.000000  4.688670e+05\n",
+       "mean   286974.000000      13.728933  2.443541e+05\n",
+       "std    165684.371812       7.960640  7.195498e+04\n",
+       "min         1.000000       1.000000  2.542290e+04\n",
+       "25%    143487.500000      10.000000  2.100814e+05\n",
+       "50%    286974.000000      12.000000  2.372190e+05\n",
+       "75%    430460.500000      15.000000  2.680566e+05\n",
+       "max    573947.000000     666.000000  4.457023e+06"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_albums.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                int64\n",
+       "date             object\n",
+       "artist           object\n",
+       "album            object\n",
+       "rank             object\n",
+       "length          float64\n",
+       "track_length    float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_albums.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "33012"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(df_albums.album.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                   0\n",
+       "date                 1\n",
+       "artist               1\n",
+       "album                1\n",
+       "rank                 1\n",
+       "length           81400\n",
+       "track_length    105080\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_albums.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0         False\n",
+       "1         False\n",
+       "2         False\n",
+       "3         False\n",
+       "4         False\n",
+       "5         False\n",
+       "6         False\n",
+       "7         False\n",
+       "8         False\n",
+       "9         False\n",
+       "10        False\n",
+       "11        False\n",
+       "12        False\n",
+       "13        False\n",
+       "14        False\n",
+       "15        False\n",
+       "16        False\n",
+       "17        False\n",
+       "18        False\n",
+       "19        False\n",
+       "20        False\n",
+       "21        False\n",
+       "22        False\n",
+       "23        False\n",
+       "24        False\n",
+       "25        False\n",
+       "26        False\n",
+       "27        False\n",
+       "28        False\n",
+       "29        False\n",
+       "          ...  \n",
+       "573917     True\n",
+       "573918     True\n",
+       "573919     True\n",
+       "573920     True\n",
+       "573921     True\n",
+       "573922     True\n",
+       "573923     True\n",
+       "573924     True\n",
+       "573925     True\n",
+       "573926     True\n",
+       "573927     True\n",
+       "573928     True\n",
+       "573929     True\n",
+       "573930     True\n",
+       "573931     True\n",
+       "573932     True\n",
+       "573933     True\n",
+       "573934     True\n",
+       "573935     True\n",
+       "573936     True\n",
+       "573937     True\n",
+       "573938     True\n",
+       "573939     True\n",
+       "573940     True\n",
+       "573941     True\n",
+       "573942     True\n",
+       "573943     True\n",
+       "573944     True\n",
+       "573945     True\n",
+       "573946     True\n",
+       "Length: 573947, dtype: bool"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_albums.duplicated(subset=[\"album\",\"artist\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_albums.dropna(subset=[\"album\"], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_albums[\"rank\"] = pd.to_numeric(df_albums[\"rank\"], downcast=\"integer\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_albums[\"date\"] = pd.to_datetime(df_albums[\"date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Timestamp('2019-01-19 00:00:00')"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "max(df_albums[\"date\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums = df_albums.groupby(by=\"album\", as_index = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_albums.sort_values([\"album\",\"date\"], axis=0, ascending=False, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#df_albums.sort_values('rank', ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums = df_albums.sort_values('date').groupby(by=[\"artist\",'album'],as_index=False).agg({\"date\":['first','last'],\"rank\":\"min\",\"length\":\"mean\",\"track_length\":\"mean\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums = albums.droplevel(1, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums.columns = [\"artist\",'album', 'date_start', 'date_end', 'rank', 'length', 'track_length']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td></td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td></td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>\"Weird Al\" Yankovic In 3-D</td>\n",
+       "      <td>1984-03-17</td>\n",
+       "      <td>1984-08-18</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Alapalooza</td>\n",
+       "      <td>1993-10-23</td>\n",
+       "      <td>1994-04-16</td>\n",
+       "      <td>46</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>224445.166667</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                artist                          album date_start   date_end  \\\n",
+       "0                       Roots Of Country Music (1965) 1965-07-10 1965-08-21   \n",
+       "1                                          Silhouette 1988-10-22 1989-11-18   \n",
+       "2    !!! (Chk Chk Chk)                     Myth Takes 2007-03-24 2007-03-24   \n",
+       "3  \"Weird Al\" Yankovic     \"Weird Al\" Yankovic In 3-D 1984-03-17 1984-08-18   \n",
+       "4  \"Weird Al\" Yankovic                     Alapalooza 1993-10-23 1994-04-16   \n",
+       "\n",
+       "   rank  length   track_length  \n",
+       "0   107    72.0            NaN  \n",
+       "1     8     1.0  230416.000000  \n",
+       "2   195    10.0  290017.000000  \n",
+       "3    17     NaN            NaN  \n",
+       "4    46    12.0  224445.166667  "
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums[\"days_top\"]= (albums.date_end-albums.date_start).astype('timedelta64[D]')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "      <th>days_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td></td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td></td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "      <td>392.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>\"Weird Al\" Yankovic In 3-D</td>\n",
+       "      <td>1984-03-17</td>\n",
+       "      <td>1984-08-18</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>154.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Alapalooza</td>\n",
+       "      <td>1993-10-23</td>\n",
+       "      <td>1994-04-16</td>\n",
+       "      <td>46</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>224445.166667</td>\n",
+       "      <td>175.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                artist                          album date_start   date_end  \\\n",
+       "0                       Roots Of Country Music (1965) 1965-07-10 1965-08-21   \n",
+       "1                                          Silhouette 1988-10-22 1989-11-18   \n",
+       "2    !!! (Chk Chk Chk)                     Myth Takes 2007-03-24 2007-03-24   \n",
+       "3  \"Weird Al\" Yankovic     \"Weird Al\" Yankovic In 3-D 1984-03-17 1984-08-18   \n",
+       "4  \"Weird Al\" Yankovic                     Alapalooza 1993-10-23 1994-04-16   \n",
+       "\n",
+       "   rank  length   track_length  days_top  \n",
+       "0   107    72.0            NaN      42.0  \n",
+       "1     8     1.0  230416.000000     392.0  \n",
+       "2   195    10.0  290017.000000       0.0  \n",
+       "3    17     NaN            NaN     154.0  \n",
+       "4    46    12.0  224445.166667     175.0  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    36338.000000\n",
+       "mean       257.963619\n",
+       "std       1191.680746\n",
+       "min          0.000000\n",
+       "25%          7.000000\n",
+       "50%         56.000000\n",
+       "75%        147.000000\n",
+       "max      18823.000000\n",
+       "Name: days_top, dtype: float64"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums[\"days_top\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "      <th>days_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td></td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td></td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "      <td>392.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Weird Al Yankovic</td>\n",
+       "      <td>1983-05-21</td>\n",
+       "      <td>1983-07-02</td>\n",
+       "      <td>139</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>The Essential \"Weird Al\" Yankovic</td>\n",
+       "      <td>2009-11-14</td>\n",
+       "      <td>2009-11-14</td>\n",
+       "      <td>178</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>241838.973684</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 artist                              album date_start  \\\n",
+       "0                            Roots Of Country Music (1965) 1965-07-10   \n",
+       "1                                               Silhouette 1988-10-22   \n",
+       "2     !!! (Chk Chk Chk)                         Myth Takes 2007-03-24   \n",
+       "18  \"Weird Al\" Yankovic                  Weird Al Yankovic 1983-05-21   \n",
+       "17  \"Weird Al\" Yankovic  The Essential \"Weird Al\" Yankovic 2009-11-14   \n",
+       "\n",
+       "     date_end  rank  length   track_length  days_top  \n",
+       "0  1965-08-21   107    72.0            NaN      42.0  \n",
+       "1  1989-11-18     8     1.0  230416.000000     392.0  \n",
+       "2  2007-03-24   195    10.0  290017.000000       0.0  \n",
+       "18 1983-07-02   139     NaN            NaN      42.0  \n",
+       "17 2009-11-14   178    38.0  241838.973684       0.0  "
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#sns.pairplot(albums)\n",
+    "albums.isna().sum()#\n",
+    "albums.sort_values(\"artist\").head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3327"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums.album.duplicated().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums.at[1, 'artist'] = \"Kenny G\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums.at[0, 'artist'] = \"Various Artists\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "      <th>days_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Various Artists</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Kenny G</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "      <td>392.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>\"Weird Al\" Yankovic In 3-D</td>\n",
+       "      <td>1984-03-17</td>\n",
+       "      <td>1984-08-18</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>154.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Alapalooza</td>\n",
+       "      <td>1993-10-23</td>\n",
+       "      <td>1994-04-16</td>\n",
+       "      <td>46</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>224445.166667</td>\n",
+       "      <td>175.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                artist                          album date_start   date_end  \\\n",
+       "0      Various Artists  Roots Of Country Music (1965) 1965-07-10 1965-08-21   \n",
+       "1              Kenny G                     Silhouette 1988-10-22 1989-11-18   \n",
+       "2    !!! (Chk Chk Chk)                     Myth Takes 2007-03-24 2007-03-24   \n",
+       "3  \"Weird Al\" Yankovic     \"Weird Al\" Yankovic In 3-D 1984-03-17 1984-08-18   \n",
+       "4  \"Weird Al\" Yankovic                     Alapalooza 1993-10-23 1994-04-16   \n",
+       "\n",
+       "   rank  length   track_length  days_top  \n",
+       "0   107    72.0            NaN      42.0  \n",
+       "1     8     1.0  230416.000000     392.0  \n",
+       "2   195    10.0  290017.000000       0.0  \n",
+       "3    17     NaN            NaN     154.0  \n",
+       "4    46    12.0  224445.166667     175.0  "
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    }
+   ],
+   "source": [
+    "albums.weeks_top = (albums.days_top + 7) / 7"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1dd3d2ec7f0>"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "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": [
+    "sns.distplot(albums[\"rank\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#albums.weeks_top = albums.days_top.apply(lambda x :(x+7)/7, result_type='expand')\n",
+    "albums = albums.assign(weeks_top=(albums['days_top'] + 7) / 7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>length</th>\n",
+       "      <th>track_length</th>\n",
+       "      <th>days_top</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Various Artists</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Kenny G</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "      <td>392.0</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>\"Weird Al\" Yankovic In 3-D</td>\n",
+       "      <td>1984-03-17</td>\n",
+       "      <td>1984-08-18</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Alapalooza</td>\n",
+       "      <td>1993-10-23</td>\n",
+       "      <td>1994-04-16</td>\n",
+       "      <td>46</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>224445.166667</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                artist                          album date_start   date_end  \\\n",
+       "0      Various Artists  Roots Of Country Music (1965) 1965-07-10 1965-08-21   \n",
+       "1              Kenny G                     Silhouette 1988-10-22 1989-11-18   \n",
+       "2    !!! (Chk Chk Chk)                     Myth Takes 2007-03-24 2007-03-24   \n",
+       "3  \"Weird Al\" Yankovic     \"Weird Al\" Yankovic In 3-D 1984-03-17 1984-08-18   \n",
+       "4  \"Weird Al\" Yankovic                     Alapalooza 1993-10-23 1994-04-16   \n",
+       "\n",
+       "   rank  length   track_length  days_top  weeks_top  \n",
+       "0   107    72.0            NaN      42.0        7.0  \n",
+       "1     8     1.0  230416.000000     392.0       57.0  \n",
+       "2   195    10.0  290017.000000       0.0        1.0  \n",
+       "3    17     NaN            NaN     154.0       23.0  \n",
+       "4    46    12.0  224445.166667     175.0       26.0  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>date_start</th>\n",
+       "      <th>date_end</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>track_length</th>\n",
+       "      <th>days_top</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Various Artists</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>1965-07-10</td>\n",
+       "      <td>1965-08-21</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Kenny G</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>1988-10-22</td>\n",
+       "      <td>1989-11-18</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>230416.000000</td>\n",
+       "      <td>392.0</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>2007-03-24</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>290017.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>\"Weird Al\" Yankovic In 3-D</td>\n",
+       "      <td>1984-03-17</td>\n",
+       "      <td>1984-08-18</td>\n",
+       "      <td>17</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>154.0</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>\"Weird Al\" Yankovic</td>\n",
+       "      <td>Alapalooza</td>\n",
+       "      <td>1993-10-23</td>\n",
+       "      <td>1994-04-16</td>\n",
+       "      <td>46</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>224445.166667</td>\n",
+       "      <td>175.0</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                artist                          album date_start   date_end  \\\n",
+       "0      Various Artists  Roots Of Country Music (1965) 1965-07-10 1965-08-21   \n",
+       "1              Kenny G                     Silhouette 1988-10-22 1989-11-18   \n",
+       "2    !!! (Chk Chk Chk)                     Myth Takes 2007-03-24 2007-03-24   \n",
+       "3  \"Weird Al\" Yankovic     \"Weird Al\" Yankovic In 3-D 1984-03-17 1984-08-18   \n",
+       "4  \"Weird Al\" Yankovic                     Alapalooza 1993-10-23 1994-04-16   \n",
+       "\n",
+       "   rank  album_length   track_length  days_top  weeks_top  \n",
+       "0   107          72.0            NaN      42.0        7.0  \n",
+       "1     8           1.0  230416.000000     392.0       57.0  \n",
+       "2   195          10.0  290017.000000       0.0        1.0  \n",
+       "3    17           NaN            NaN     154.0       23.0  \n",
+       "4    46          12.0  224445.166667     175.0       26.0  "
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums = albums.rename(columns={\"length\":\"album_length\"})\n",
+    "albums.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums_merge = albums.drop(columns=[\"date_start\",\"date_end\",\"days_top\",\"track_length\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Various Artists</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>107</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Kenny G</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>57.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>195</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              artist                          album  rank  album_length  \\\n",
+       "0    Various Artists  Roots Of Country Music (1965)   107          72.0   \n",
+       "1            Kenny G                     Silhouette     8           1.0   \n",
+       "2  !!! (Chk Chk Chk)                     Myth Takes   195          10.0   \n",
+       "\n",
+       "   weeks_top  \n",
+       "0        7.0  \n",
+       "1       57.0  \n",
+       "2        1.0  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "albums_merge.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_ranking = df_acoustic_features.merge(albums_merge,on=[\"artist\",\"album\"], how=\"left\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0         False\n",
+       "1         False\n",
+       "2         False\n",
+       "3         False\n",
+       "4         False\n",
+       "5         False\n",
+       "6         False\n",
+       "7         False\n",
+       "8         False\n",
+       "9         False\n",
+       "10        False\n",
+       "11        False\n",
+       "12        False\n",
+       "13        False\n",
+       "14        False\n",
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+       "16        False\n",
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+       "18        False\n",
+       "19        False\n",
+       "20        False\n",
+       "21        False\n",
+       "22        False\n",
+       "23        False\n",
+       "24        False\n",
+       "25        False\n",
+       "26        False\n",
+       "27        False\n",
+       "28        False\n",
+       "29        False\n",
+       "          ...  \n",
+       "339825    False\n",
+       "339826    False\n",
+       "339827    False\n",
+       "339828    False\n",
+       "339829    False\n",
+       "339830    False\n",
+       "339831    False\n",
+       "339832    False\n",
+       "339833    False\n",
+       "339834    False\n",
+       "339835    False\n",
+       "339836    False\n",
+       "339837    False\n",
+       "339838    False\n",
+       "339839    False\n",
+       "339840    False\n",
+       "339841    False\n",
+       "339842    False\n",
+       "339843    False\n",
+       "339844    False\n",
+       "339845    False\n",
+       "339846    False\n",
+       "339847    False\n",
+       "339848    False\n",
+       "339849    False\n",
+       "339850    False\n",
+       "339851    False\n",
+       "339852    False\n",
+       "339853    False\n",
+       "339854    False\n",
+       "Name: rank, Length: 339855, dtype: bool"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking[\"rank\"].isnull()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\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>id</th>\n",
+       "      <th>song</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>...</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0Veyvc3n9AcLSoK3r1dA12</td>\n",
+       "      <td>Voices In My Head</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0555</td>\n",
+       "      <td>0.754</td>\n",
+       "      <td>142301.0</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>90.195</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>77JzXZonNumWsuXKy9vr3U</td>\n",
+       "      <td>Beasty</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.2920</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>152829.0</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>126.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>18yllZD0TdF7ykcREib8Z1</td>\n",
+       "      <td>I Did It</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.1530</td>\n",
+       "      <td>0.718</td>\n",
+       "      <td>215305.0</td>\n",
+       "      <td>0.454</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>89.483</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1wJRveJZLSb1rjhnUHQiv6</td>\n",
+       "      <td>Swervin (feat. 6ix9ine)</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0153</td>\n",
+       "      <td>0.581</td>\n",
+       "      <td>189487.0</td>\n",
+       "      <td>0.662</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.303</td>\n",
+       "      <td>93.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.434</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0jAfdqv18goRTUxm3ilRjb</td>\n",
+       "      <td>Startender (feat. Offset and Tyga)</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0235</td>\n",
+       "      <td>0.736</td>\n",
+       "      <td>192779.0</td>\n",
+       "      <td>0.622</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>191.971</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.506</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       id                                song       album  \\\n",
+       "0  0Veyvc3n9AcLSoK3r1dA12                   Voices In My Head  Hoodie SZN   \n",
+       "1  77JzXZonNumWsuXKy9vr3U                              Beasty  Hoodie SZN   \n",
+       "2  18yllZD0TdF7ykcREib8Z1                            I Did It  Hoodie SZN   \n",
+       "3  1wJRveJZLSb1rjhnUHQiv6             Swervin (feat. 6ix9ine)  Hoodie SZN   \n",
+       "4  0jAfdqv18goRTUxm3ilRjb  Startender (feat. Offset and Tyga)  Hoodie SZN   \n",
+       "\n",
+       "                   artist  acousticness  danceability  duration_ms  energy  \\\n",
+       "0  A Boogie Wit da Hoodie        0.0555         0.754     142301.0   0.663   \n",
+       "1  A Boogie Wit da Hoodie        0.2920         0.860     152829.0   0.418   \n",
+       "2  A Boogie Wit da Hoodie        0.1530         0.718     215305.0   0.454   \n",
+       "3  A Boogie Wit da Hoodie        0.0153         0.581     189487.0   0.662   \n",
+       "4  A Boogie Wit da Hoodie        0.0235         0.736     192779.0   0.622   \n",
+       "\n",
+       "   instrumentalness  key  ...  mode  speechiness    tempo  time_signature  \\\n",
+       "0          0.000000  6.0  ...   0.0        0.427   90.195             4.0   \n",
+       "1          0.000000  7.0  ...   0.0        0.158  126.023             4.0   \n",
+       "2          0.000046  8.0  ...   1.0        0.127   89.483             4.0   \n",
+       "3          0.000000  9.0  ...   1.0        0.303   93.023             4.0   \n",
+       "4          0.000000  6.0  ...   0.0        0.133  191.971             4.0   \n",
+       "\n",
+       "   valence                album_id        date rank album_length  weeks_top  \n",
+       "0    0.207  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  1.0         20.0        3.0  \n",
+       "1    0.374  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  1.0         20.0        3.0  \n",
+       "2    0.196  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  1.0         20.0        3.0  \n",
+       "3    0.434  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  1.0         20.0        3.0  \n",
+       "4    0.506  3r5hf3Cj3EMh1C2saQ8jyt  2018-12-21  1.0         20.0        3.0  \n",
+       "\n",
+       "[5 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>song</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>...</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>241999</th>\n",
+       "      <td>6yG67QYhkj9WVIt7WgyHE1</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td></td>\n",
+       "      <td>0.935</td>\n",
+       "      <td>0.731</td>\n",
+       "      <td>223507.0</td>\n",
+       "      <td>0.167</td>\n",
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+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0297</td>\n",
+       "      <td>94.932</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.274</td>\n",
+       "      <td>61vU2oVw8d5QkTNhW8PYla</td>\n",
+       "      <td>2018-02-09</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334300</th>\n",
+       "      <td>0ZUFk0afed2FkqmuJ5zGxR</td>\n",
+       "      <td>Shootin' Creek (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.953</td>\n",
+       "      <td>0.712</td>\n",
+       "      <td>204307.0</td>\n",
+       "      <td>0.514</td>\n",
+       "      <td>0.004250</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0391</td>\n",
+       "      <td>133.558</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334301</th>\n",
+       "      <td>5Xhj8u4dAeZYaZwXQJsQ4E</td>\n",
+       "      <td>Baltimore Fire (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.901</td>\n",
+       "      <td>0.512</td>\n",
+       "      <td>191800.0</td>\n",
+       "      <td>0.439</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0311</td>\n",
+       "      <td>115.861</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.935</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334302</th>\n",
+       "      <td>2bKkPsqxC7o4V2lcwbI18U</td>\n",
+       "      <td>Leaving Home (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>0.420</td>\n",
+       "      <td>189253.0</td>\n",
+       "      <td>0.431</td>\n",
+       "      <td>0.000314</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0406</td>\n",
+       "      <td>205.555</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.901</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334303</th>\n",
+       "      <td>1hPEhm8zQk4hAyYeD1pHUc</td>\n",
+       "      <td>There'll Come a Time (with The North Carolina ...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.961</td>\n",
+       "      <td>0.445</td>\n",
+       "      <td>209027.0</td>\n",
+       "      <td>0.332</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0336</td>\n",
+       "      <td>182.993</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.831</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334304</th>\n",
+       "      <td>3UG5yKkePf93z9RSBsbPE5</td>\n",
+       "      <td>White House Blues (with The North Carolina Ram...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.919</td>\n",
+       "      <td>0.546</td>\n",
+       "      <td>208813.0</td>\n",
+       "      <td>0.409</td>\n",
+       "      <td>0.000006</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0477</td>\n",
+       "      <td>121.444</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.815</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334305</th>\n",
+       "      <td>3UCBtdESy842iTU1uHEogX</td>\n",
+       "      <td>The Highwayman (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.930</td>\n",
+       "      <td>0.523</td>\n",
+       "      <td>198253.0</td>\n",
+       "      <td>0.309</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0347</td>\n",
+       "      <td>96.058</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.776</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334306</th>\n",
+       "      <td>7z33ai31tZQ9vEKQQwww5D</td>\n",
+       "      <td>Hungry Hash House (with The North Carolina Ram...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.922</td>\n",
+       "      <td>0.532</td>\n",
+       "      <td>203227.0</td>\n",
+       "      <td>0.397</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0458</td>\n",
+       "      <td>116.492</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.902</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334307</th>\n",
+       "      <td>3hntqfPOhpYrmNg33aqonb</td>\n",
+       "      <td>The Letter that Never Came (with The North Car...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.965</td>\n",
+       "      <td>0.533</td>\n",
+       "      <td>168800.0</td>\n",
+       "      <td>0.412</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0462</td>\n",
+       "      <td>106.316</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.781</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334308</th>\n",
+       "      <td>6rxrbo1o1QuL2SKV6M7NA1</td>\n",
+       "      <td>Take a Drink on Me (with The North Carolina Ra...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.924</td>\n",
+       "      <td>0.588</td>\n",
+       "      <td>194680.0</td>\n",
+       "      <td>0.536</td>\n",
+       "      <td>0.000031</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0333</td>\n",
+       "      <td>125.672</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334309</th>\n",
+       "      <td>3cUQJtLu2yq4FBaoe36okl</td>\n",
+       "      <td>Husband and Wife Were Angry One Night (with Th...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.963</td>\n",
+       "      <td>0.710</td>\n",
+       "      <td>170813.0</td>\n",
+       "      <td>0.322</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0288</td>\n",
+       "      <td>97.044</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.933</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334310</th>\n",
+       "      <td>2k7AzvedyJktnDflUVcKYB</td>\n",
+       "      <td>Ramblin' Blues (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.927</td>\n",
+       "      <td>0.681</td>\n",
+       "      <td>185933.0</td>\n",
+       "      <td>0.448</td>\n",
+       "      <td>0.000049</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0366</td>\n",
+       "      <td>121.730</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.921</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334311</th>\n",
+       "      <td>3xongt156K2h28zHBCGkjV</td>\n",
+       "      <td>Took My Gal A-Walkin' (with The North Carolina...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.952</td>\n",
+       "      <td>0.554</td>\n",
+       "      <td>168147.0</td>\n",
+       "      <td>0.312</td>\n",
+       "      <td>0.000007</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0315</td>\n",
+       "      <td>104.923</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.928</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334312</th>\n",
+       "      <td>7gHZDMFYE5Obq96MJRE5UD</td>\n",
+       "      <td>Old and Only in the Way (with The North Caroli...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.969</td>\n",
+       "      <td>0.499</td>\n",
+       "      <td>207880.0</td>\n",
+       "      <td>0.290</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0473</td>\n",
+       "      <td>175.944</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.649</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334313</th>\n",
+       "      <td>0kK3Qs81peDYr3XPIYPctP</td>\n",
+       "      <td>Don't Let Your Deal Go Down Blues (with The No...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.990</td>\n",
+       "      <td>0.594</td>\n",
+       "      <td>172027.0</td>\n",
+       "      <td>0.413</td>\n",
+       "      <td>0.047700</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0367</td>\n",
+       "      <td>137.338</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.905</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334314</th>\n",
+       "      <td>1W05sAuCWcViCCz6ib3KZy</td>\n",
+       "      <td>Bill Mason (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.910</td>\n",
+       "      <td>0.751</td>\n",
+       "      <td>180267.0</td>\n",
+       "      <td>0.478</td>\n",
+       "      <td>0.000022</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0775</td>\n",
+       "      <td>119.050</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.956</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334315</th>\n",
+       "      <td>3PzmwPmvLlYIyw5yiTjmKU</td>\n",
+       "      <td>A Kiss Waltz (with The North Carolina Ramblers...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.875</td>\n",
+       "      <td>0.407</td>\n",
+       "      <td>188373.0</td>\n",
+       "      <td>0.355</td>\n",
+       "      <td>0.809000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0347</td>\n",
+       "      <td>165.145</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.938</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334316</th>\n",
+       "      <td>4hFhhvQBSi53aR2EQ2yXjI</td>\n",
+       "      <td>Flop Eared Mule (with Chris Howland &amp; The High...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0.638</td>\n",
+       "      <td>178387.0</td>\n",
+       "      <td>0.750</td>\n",
+       "      <td>0.534000</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0399</td>\n",
+       "      <td>131.764</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.885</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334317</th>\n",
+       "      <td>0uw1DoIdB75eilYSFPpEDp</td>\n",
+       "      <td>A Trip to New York, Pt. 1 (with Allegheny High...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.925</td>\n",
+       "      <td>0.573</td>\n",
+       "      <td>185413.0</td>\n",
+       "      <td>0.416</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.3810</td>\n",
+       "      <td>133.930</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.850</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334318</th>\n",
+       "      <td>6F6KTnlicSqAlNwW8MgMjK</td>\n",
+       "      <td>Sweet Sixteen (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.917</td>\n",
+       "      <td>0.644</td>\n",
+       "      <td>174053.0</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0450</td>\n",
+       "      <td>114.801</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.892</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334319</th>\n",
+       "      <td>3Dj4DXFrIf1GZMXyL01C3J</td>\n",
+       "      <td>Write a Letter to My Mother (with The North Ca...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.875</td>\n",
+       "      <td>0.696</td>\n",
+       "      <td>181773.0</td>\n",
+       "      <td>0.407</td>\n",
+       "      <td>0.000141</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0267</td>\n",
+       "      <td>97.032</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.929</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334320</th>\n",
+       "      <td>5O1FjxnI4fGAdJWRv9Uwy9</td>\n",
+       "      <td>If the River Was Whiskey (with The North Carol...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0.528</td>\n",
+       "      <td>189573.0</td>\n",
+       "      <td>0.354</td>\n",
+       "      <td>0.000007</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0499</td>\n",
+       "      <td>99.170</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.743</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334321</th>\n",
+       "      <td>2qZjqI8LU7efzauVIonjHl</td>\n",
+       "      <td>Mother's Last Farewell Kiss (with The North Ca...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.966</td>\n",
+       "      <td>0.486</td>\n",
+       "      <td>183853.0</td>\n",
+       "      <td>0.226</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0351</td>\n",
+       "      <td>173.193</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.577</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334322</th>\n",
+       "      <td>2s1fbQyQ5hPjsbbGZkMC2R</td>\n",
+       "      <td>Milwaukee Blues (with The North Carolina Rambl...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.978</td>\n",
+       "      <td>0.738</td>\n",
+       "      <td>197267.0</td>\n",
+       "      <td>0.411</td>\n",
+       "      <td>0.000029</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0390</td>\n",
+       "      <td>106.908</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.919</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334323</th>\n",
+       "      <td>7sqb1bBC5EKowm4oqoKkmo</td>\n",
+       "      <td>Where the Whippoorwill Is Whispering Good-Nigh...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0.667</td>\n",
+       "      <td>189733.0</td>\n",
+       "      <td>0.239</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0335</td>\n",
+       "      <td>90.350</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.721</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334324</th>\n",
+       "      <td>5MgjNSxvgAGWyQF7C2jKaF</td>\n",
+       "      <td>The Girl I Left in Sunny Tennessee (with The N...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.991</td>\n",
+       "      <td>0.709</td>\n",
+       "      <td>201840.0</td>\n",
+       "      <td>0.423</td>\n",
+       "      <td>0.042300</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0326</td>\n",
+       "      <td>128.847</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.885</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334325</th>\n",
+       "      <td>5XrKPffmwEP65ZiCTeOeX4</td>\n",
+       "      <td>Sunny Tennesee (with Floyd County Ramblers) - ...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.944</td>\n",
+       "      <td>0.491</td>\n",
+       "      <td>196267.0</td>\n",
+       "      <td>0.391</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0334</td>\n",
+       "      <td>114.447</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.624</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334326</th>\n",
+       "      <td>2woAfvj29PxBBWvhJ6QiQH</td>\n",
+       "      <td>Bulldog Down in Sunny Tennessee (with Dock Walsh)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.964</td>\n",
+       "      <td>0.648</td>\n",
+       "      <td>160053.0</td>\n",
+       "      <td>0.397</td>\n",
+       "      <td>0.000008</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0402</td>\n",
+       "      <td>167.310</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.922</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334327</th>\n",
+       "      <td>43zp4lGaVAbD86JsU7IuNj</td>\n",
+       "      <td>Moving Day (with Arthur Collins)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.994</td>\n",
+       "      <td>0.658</td>\n",
+       "      <td>193360.0</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0849</td>\n",
+       "      <td>75.287</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.698</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334328</th>\n",
+       "      <td>7foZTkS7CxXV1W28GoB5O1</td>\n",
+       "      <td>It's Movin' Day (with The North Carolina Rambl...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.871</td>\n",
+       "      <td>0.540</td>\n",
+       "      <td>207107.0</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>0.000013</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0339</td>\n",
+       "      <td>95.801</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.842</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334329</th>\n",
+       "      <td>22j6YCqpxVHXF3EmsYRMBk</td>\n",
+       "      <td>Home Sweet, Home (with Frank Jenkins)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0.481</td>\n",
+       "      <td>153160.0</td>\n",
+       "      <td>0.537</td>\n",
+       "      <td>0.881000</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0414</td>\n",
+       "      <td>129.572</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.974</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334330</th>\n",
+       "      <td>6pH9yEW5e4Lnd7MIY6wFN3</td>\n",
+       "      <td>I'm the Man that Rode the Mule 'Round the Worl...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.990</td>\n",
+       "      <td>0.668</td>\n",
+       "      <td>183293.0</td>\n",
+       "      <td>0.392</td>\n",
+       "      <td>0.419000</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0476</td>\n",
+       "      <td>139.631</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.923</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334331</th>\n",
+       "      <td>4eIEru6KjlZeio3zHj7oba</td>\n",
+       "      <td>Man that Rode the Mule Around the World (with ...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.946</td>\n",
+       "      <td>0.692</td>\n",
+       "      <td>175547.0</td>\n",
+       "      <td>0.341</td>\n",
+       "      <td>0.000032</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0436</td>\n",
+       "      <td>123.576</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.797</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334332</th>\n",
+       "      <td>66hnNRU8IhBnxJZS7I3xXG</td>\n",
+       "      <td>Lynchburg Town (with Chris Howland &amp; The Highl...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.970</td>\n",
+       "      <td>0.709</td>\n",
+       "      <td>180667.0</td>\n",
+       "      <td>0.652</td>\n",
+       "      <td>0.651000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0313</td>\n",
+       "      <td>131.121</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.773</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334333</th>\n",
+       "      <td>7v4VLqGkxpAmFO7FIUmj6r</td>\n",
+       "      <td>Going Down to Lynchburg Town / Don't Let Your ...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>0.582</td>\n",
+       "      <td>188600.0</td>\n",
+       "      <td>0.565</td>\n",
+       "      <td>0.882000</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0350</td>\n",
+       "      <td>145.412</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.936</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334334</th>\n",
+       "      <td>3z7ZQf4bZgCFLjPjXmJFeZ</td>\n",
+       "      <td>Some One (with Branch &amp; Coleman)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>0.462</td>\n",
+       "      <td>183360.0</td>\n",
+       "      <td>0.277</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0323</td>\n",
+       "      <td>178.321</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.634</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334335</th>\n",
+       "      <td>2kUpX7DIdcvjbPsEFYK5Gh</td>\n",
+       "      <td>Monkey on a String (with Cal Stewart)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.983</td>\n",
+       "      <td>0.590</td>\n",
+       "      <td>151040.0</td>\n",
+       "      <td>0.366</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.2550</td>\n",
+       "      <td>83.011</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.935</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334336</th>\n",
+       "      <td>33s2KcXL1G6pQkjZsi01Yc</td>\n",
+       "      <td>Monkey on a String (with The North Carolina Ra...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.989</td>\n",
+       "      <td>0.589</td>\n",
+       "      <td>187253.0</td>\n",
+       "      <td>0.454</td>\n",
+       "      <td>0.007220</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0391</td>\n",
+       "      <td>102.926</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.887</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334337</th>\n",
+       "      <td>5dgeBwWjLx357PEFJtUQKX</td>\n",
+       "      <td>Can I Sleep in Your Barn Tonight Mister (with ...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.993</td>\n",
+       "      <td>0.675</td>\n",
+       "      <td>191693.0</td>\n",
+       "      <td>0.360</td>\n",
+       "      <td>0.002530</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0406</td>\n",
+       "      <td>132.818</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.865</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334338</th>\n",
+       "      <td>0gN9Hm4DeszZez2XIXyyEv</td>\n",
+       "      <td>May I Sleep in Your Barn Tonight, Mister (with...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.927</td>\n",
+       "      <td>0.649</td>\n",
+       "      <td>171600.0</td>\n",
+       "      <td>0.522</td>\n",
+       "      <td>0.006000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0599</td>\n",
+       "      <td>126.300</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.567</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334339</th>\n",
+       "      <td>6BqRH6HC4Qqn47dJz0iYAI</td>\n",
+       "      <td>Married Life Blues (with Byron Parker)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.969</td>\n",
+       "      <td>0.567</td>\n",
+       "      <td>160987.0</td>\n",
+       "      <td>0.369</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0323</td>\n",
+       "      <td>113.087</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.740</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334340</th>\n",
+       "      <td>0WPljjnATI6qeuBzvRjmtV</td>\n",
+       "      <td>The Infanta March (with Fred van Eps)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.968</td>\n",
+       "      <td>0.551</td>\n",
+       "      <td>260560.0</td>\n",
+       "      <td>0.631</td>\n",
+       "      <td>0.950000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0571</td>\n",
+       "      <td>123.816</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.963</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334341</th>\n",
+       "      <td>1WnKHpJccBviOIVY8ttV4H</td>\n",
+       "      <td>Sunset March (with The North Carolina Ramblers)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.979</td>\n",
+       "      <td>0.637</td>\n",
+       "      <td>159760.0</td>\n",
+       "      <td>0.450</td>\n",
+       "      <td>0.941000</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0652</td>\n",
+       "      <td>114.502</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.648</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334342</th>\n",
+       "      <td>6mkkTKSp6UvaeZSsABnXvO</td>\n",
+       "      <td>I'll Roll in My Sweet Baby's Arms (with Carter...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.965</td>\n",
+       "      <td>0.657</td>\n",
+       "      <td>178080.0</td>\n",
+       "      <td>0.438</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0846</td>\n",
+       "      <td>144.214</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.813</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334343</th>\n",
+       "      <td>1WsnmtfBvMtwW38EfzR62g</td>\n",
+       "      <td>Goodbye Eliza Jane (with Peerless Quartet)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.995</td>\n",
+       "      <td>0.655</td>\n",
+       "      <td>97107.0</td>\n",
+       "      <td>0.458</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.8840</td>\n",
+       "      <td>114.851</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.405</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334344</th>\n",
+       "      <td>67BWokCtjylxW4hsq2Ecys</td>\n",
+       "      <td>Good-Bye Sweet Liza Jane (with The North Carol...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.947</td>\n",
+       "      <td>0.657</td>\n",
+       "      <td>185147.0</td>\n",
+       "      <td>0.350</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0387</td>\n",
+       "      <td>105.339</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.898</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334345</th>\n",
+       "      <td>4VKveoCmYHMm74GFORF9gm</td>\n",
+       "      <td>Goodbye Booze (with The North Carolina Rambler...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.987</td>\n",
+       "      <td>0.399</td>\n",
+       "      <td>195240.0</td>\n",
+       "      <td>0.305</td>\n",
+       "      <td>0.005340</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0338</td>\n",
+       "      <td>182.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.848</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334346</th>\n",
+       "      <td>48l5jPrKfDdVLLgL89kQxi</td>\n",
+       "      <td>Goodbye Booze (with Fate Norris &amp; Gid Tanner)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.988</td>\n",
+       "      <td>0.608</td>\n",
+       "      <td>170333.0</td>\n",
+       "      <td>0.286</td>\n",
+       "      <td>0.000003</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0406</td>\n",
+       "      <td>120.245</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.650</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334347</th>\n",
+       "      <td>1L9FE9o1C480C0Argv1K3u</td>\n",
+       "      <td>You Ain't Talking to Me (with Eddie Morton)</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.996</td>\n",
+       "      <td>0.533</td>\n",
+       "      <td>174920.0</td>\n",
+       "      <td>0.277</td>\n",
+       "      <td>0.001640</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.1960</td>\n",
+       "      <td>85.184</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.765</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334348</th>\n",
+       "      <td>3ioWkuIRTynwbAgfPP1eVL</td>\n",
+       "      <td>You Ain't Talkin' to Me (with The North Caroli...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.931</td>\n",
+       "      <td>0.628</td>\n",
+       "      <td>177480.0</td>\n",
+       "      <td>0.403</td>\n",
+       "      <td>0.000001</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0429</td>\n",
+       "      <td>122.515</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.867</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>334349</th>\n",
+       "      <td>2J4Mu7AEozVHgoMzOy214L</td>\n",
+       "      <td>If I Lose, I Don't Care (with The North Caroli...</td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td></td>\n",
+       "      <td>0.938</td>\n",
+       "      <td>0.558</td>\n",
+       "      <td>187600.0</td>\n",
+       "      <td>0.366</td>\n",
+       "      <td>0.000009</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0497</td>\n",
+       "      <td>124.802</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.873</td>\n",
+       "      <td>0jckzrST0anXNTY13KMbSw</td>\n",
+       "      <td>2005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>51 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                            id  \\\n",
+       "241999  6yG67QYhkj9WVIt7WgyHE1   \n",
+       "334300  0ZUFk0afed2FkqmuJ5zGxR   \n",
+       "334301  5Xhj8u4dAeZYaZwXQJsQ4E   \n",
+       "334302  2bKkPsqxC7o4V2lcwbI18U   \n",
+       "334303  1hPEhm8zQk4hAyYeD1pHUc   \n",
+       "334304  3UG5yKkePf93z9RSBsbPE5   \n",
+       "334305  3UCBtdESy842iTU1uHEogX   \n",
+       "334306  7z33ai31tZQ9vEKQQwww5D   \n",
+       "334307  3hntqfPOhpYrmNg33aqonb   \n",
+       "334308  6rxrbo1o1QuL2SKV6M7NA1   \n",
+       "334309  3cUQJtLu2yq4FBaoe36okl   \n",
+       "334310  2k7AzvedyJktnDflUVcKYB   \n",
+       "334311  3xongt156K2h28zHBCGkjV   \n",
+       "334312  7gHZDMFYE5Obq96MJRE5UD   \n",
+       "334313  0kK3Qs81peDYr3XPIYPctP   \n",
+       "334314  1W05sAuCWcViCCz6ib3KZy   \n",
+       "334315  3PzmwPmvLlYIyw5yiTjmKU   \n",
+       "334316  4hFhhvQBSi53aR2EQ2yXjI   \n",
+       "334317  0uw1DoIdB75eilYSFPpEDp   \n",
+       "334318  6F6KTnlicSqAlNwW8MgMjK   \n",
+       "334319  3Dj4DXFrIf1GZMXyL01C3J   \n",
+       "334320  5O1FjxnI4fGAdJWRv9Uwy9   \n",
+       "334321  2qZjqI8LU7efzauVIonjHl   \n",
+       "334322  2s1fbQyQ5hPjsbbGZkMC2R   \n",
+       "334323  7sqb1bBC5EKowm4oqoKkmo   \n",
+       "334324  5MgjNSxvgAGWyQF7C2jKaF   \n",
+       "334325  5XrKPffmwEP65ZiCTeOeX4   \n",
+       "334326  2woAfvj29PxBBWvhJ6QiQH   \n",
+       "334327  43zp4lGaVAbD86JsU7IuNj   \n",
+       "334328  7foZTkS7CxXV1W28GoB5O1   \n",
+       "334329  22j6YCqpxVHXF3EmsYRMBk   \n",
+       "334330  6pH9yEW5e4Lnd7MIY6wFN3   \n",
+       "334331  4eIEru6KjlZeio3zHj7oba   \n",
+       "334332  66hnNRU8IhBnxJZS7I3xXG   \n",
+       "334333  7v4VLqGkxpAmFO7FIUmj6r   \n",
+       "334334  3z7ZQf4bZgCFLjPjXmJFeZ   \n",
+       "334335  2kUpX7DIdcvjbPsEFYK5Gh   \n",
+       "334336  33s2KcXL1G6pQkjZsi01Yc   \n",
+       "334337  5dgeBwWjLx357PEFJtUQKX   \n",
+       "334338  0gN9Hm4DeszZez2XIXyyEv   \n",
+       "334339  6BqRH6HC4Qqn47dJz0iYAI   \n",
+       "334340  0WPljjnATI6qeuBzvRjmtV   \n",
+       "334341  1WnKHpJccBviOIVY8ttV4H   \n",
+       "334342  6mkkTKSp6UvaeZSsABnXvO   \n",
+       "334343  1WsnmtfBvMtwW38EfzR62g   \n",
+       "334344  67BWokCtjylxW4hsq2Ecys   \n",
+       "334345  4VKveoCmYHMm74GFORF9gm   \n",
+       "334346  48l5jPrKfDdVLLgL89kQxi   \n",
+       "334347  1L9FE9o1C480C0Argv1K3u   \n",
+       "334348  3ioWkuIRTynwbAgfPP1eVL   \n",
+       "334349  2J4Mu7AEozVHgoMzOy214L   \n",
+       "\n",
+       "                                                     song  \\\n",
+       "241999                                         Silhouette   \n",
+       "334300  Shootin' Creek (with The North Carolina Ramblers)   \n",
+       "334301  Baltimore Fire (with The North Carolina Ramblers)   \n",
+       "334302    Leaving Home (with The North Carolina Ramblers)   \n",
+       "334303  There'll Come a Time (with The North Carolina ...   \n",
+       "334304  White House Blues (with The North Carolina Ram...   \n",
+       "334305  The Highwayman (with The North Carolina Ramblers)   \n",
+       "334306  Hungry Hash House (with The North Carolina Ram...   \n",
+       "334307  The Letter that Never Came (with The North Car...   \n",
+       "334308  Take a Drink on Me (with The North Carolina Ra...   \n",
+       "334309  Husband and Wife Were Angry One Night (with Th...   \n",
+       "334310  Ramblin' Blues (with The North Carolina Ramblers)   \n",
+       "334311  Took My Gal A-Walkin' (with The North Carolina...   \n",
+       "334312  Old and Only in the Way (with The North Caroli...   \n",
+       "334313  Don't Let Your Deal Go Down Blues (with The No...   \n",
+       "334314      Bill Mason (with The North Carolina Ramblers)   \n",
+       "334315  A Kiss Waltz (with The North Carolina Ramblers...   \n",
+       "334316  Flop Eared Mule (with Chris Howland & The High...   \n",
+       "334317  A Trip to New York, Pt. 1 (with Allegheny High...   \n",
+       "334318   Sweet Sixteen (with The North Carolina Ramblers)   \n",
+       "334319  Write a Letter to My Mother (with The North Ca...   \n",
+       "334320  If the River Was Whiskey (with The North Carol...   \n",
+       "334321  Mother's Last Farewell Kiss (with The North Ca...   \n",
+       "334322  Milwaukee Blues (with The North Carolina Rambl...   \n",
+       "334323  Where the Whippoorwill Is Whispering Good-Nigh...   \n",
+       "334324  The Girl I Left in Sunny Tennessee (with The N...   \n",
+       "334325  Sunny Tennesee (with Floyd County Ramblers) - ...   \n",
+       "334326  Bulldog Down in Sunny Tennessee (with Dock Walsh)   \n",
+       "334327                   Moving Day (with Arthur Collins)   \n",
+       "334328  It's Movin' Day (with The North Carolina Rambl...   \n",
+       "334329              Home Sweet, Home (with Frank Jenkins)   \n",
+       "334330  I'm the Man that Rode the Mule 'Round the Worl...   \n",
+       "334331  Man that Rode the Mule Around the World (with ...   \n",
+       "334332  Lynchburg Town (with Chris Howland & The Highl...   \n",
+       "334333  Going Down to Lynchburg Town / Don't Let Your ...   \n",
+       "334334                   Some One (with Branch & Coleman)   \n",
+       "334335              Monkey on a String (with Cal Stewart)   \n",
+       "334336  Monkey on a String (with The North Carolina Ra...   \n",
+       "334337  Can I Sleep in Your Barn Tonight Mister (with ...   \n",
+       "334338  May I Sleep in Your Barn Tonight, Mister (with...   \n",
+       "334339             Married Life Blues (with Byron Parker)   \n",
+       "334340              The Infanta March (with Fred van Eps)   \n",
+       "334341    Sunset March (with The North Carolina Ramblers)   \n",
+       "334342  I'll Roll in My Sweet Baby's Arms (with Carter...   \n",
+       "334343         Goodbye Eliza Jane (with Peerless Quartet)   \n",
+       "334344  Good-Bye Sweet Liza Jane (with The North Carol...   \n",
+       "334345  Goodbye Booze (with The North Carolina Rambler...   \n",
+       "334346      Goodbye Booze (with Fate Norris & Gid Tanner)   \n",
+       "334347        You Ain't Talking to Me (with Eddie Morton)   \n",
+       "334348  You Ain't Talkin' to Me (with The North Caroli...   \n",
+       "334349  If I Lose, I Don't Care (with The North Caroli...   \n",
+       "\n",
+       "                                album artist  acousticness  danceability  \\\n",
+       "241999                     Silhouette                0.935         0.731   \n",
+       "334300  Roots Of Country Music (1965)                0.953         0.712   \n",
+       "334301  Roots Of Country Music (1965)                0.901         0.512   \n",
+       "334302  Roots Of Country Music (1965)                0.988         0.420   \n",
+       "334303  Roots Of Country Music (1965)                0.961         0.445   \n",
+       "334304  Roots Of Country Music (1965)                0.919         0.546   \n",
+       "334305  Roots Of Country Music (1965)                0.930         0.523   \n",
+       "334306  Roots Of Country Music (1965)                0.922         0.532   \n",
+       "334307  Roots Of Country Music (1965)                0.965         0.533   \n",
+       "334308  Roots Of Country Music (1965)                0.924         0.588   \n",
+       "334309  Roots Of Country Music (1965)                0.963         0.710   \n",
+       "334310  Roots Of Country Music (1965)                0.927         0.681   \n",
+       "334311  Roots Of Country Music (1965)                0.952         0.554   \n",
+       "334312  Roots Of Country Music (1965)                0.969         0.499   \n",
+       "334313  Roots Of Country Music (1965)                0.990         0.594   \n",
+       "334314  Roots Of Country Music (1965)                0.910         0.751   \n",
+       "334315  Roots Of Country Music (1965)                0.875         0.407   \n",
+       "334316  Roots Of Country Music (1965)                0.974         0.638   \n",
+       "334317  Roots Of Country Music (1965)                0.925         0.573   \n",
+       "334318  Roots Of Country Music (1965)                0.917         0.644   \n",
+       "334319  Roots Of Country Music (1965)                0.875         0.696   \n",
+       "334320  Roots Of Country Music (1965)                0.923         0.528   \n",
+       "334321  Roots Of Country Music (1965)                0.966         0.486   \n",
+       "334322  Roots Of Country Music (1965)                0.978         0.738   \n",
+       "334323  Roots Of Country Music (1965)                0.974         0.667   \n",
+       "334324  Roots Of Country Music (1965)                0.991         0.709   \n",
+       "334325  Roots Of Country Music (1965)                0.944         0.491   \n",
+       "334326  Roots Of Country Music (1965)                0.964         0.648   \n",
+       "334327  Roots Of Country Music (1965)                0.994         0.658   \n",
+       "334328  Roots Of Country Music (1965)                0.871         0.540   \n",
+       "334329  Roots Of Country Music (1965)                0.974         0.481   \n",
+       "334330  Roots Of Country Music (1965)                0.990         0.668   \n",
+       "334331  Roots Of Country Music (1965)                0.946         0.692   \n",
+       "334332  Roots Of Country Music (1965)                0.970         0.709   \n",
+       "334333  Roots Of Country Music (1965)                0.993         0.582   \n",
+       "334334  Roots Of Country Music (1965)                0.983         0.462   \n",
+       "334335  Roots Of Country Music (1965)                0.983         0.590   \n",
+       "334336  Roots Of Country Music (1965)                0.989         0.589   \n",
+       "334337  Roots Of Country Music (1965)                0.993         0.675   \n",
+       "334338  Roots Of Country Music (1965)                0.927         0.649   \n",
+       "334339  Roots Of Country Music (1965)                0.969         0.567   \n",
+       "334340  Roots Of Country Music (1965)                0.968         0.551   \n",
+       "334341  Roots Of Country Music (1965)                0.979         0.637   \n",
+       "334342  Roots Of Country Music (1965)                0.965         0.657   \n",
+       "334343  Roots Of Country Music (1965)                0.995         0.655   \n",
+       "334344  Roots Of Country Music (1965)                0.947         0.657   \n",
+       "334345  Roots Of Country Music (1965)                0.987         0.399   \n",
+       "334346  Roots Of Country Music (1965)                0.988         0.608   \n",
+       "334347  Roots Of Country Music (1965)                0.996         0.533   \n",
+       "334348  Roots Of Country Music (1965)                0.931         0.628   \n",
+       "334349  Roots Of Country Music (1965)                0.938         0.558   \n",
+       "\n",
+       "        duration_ms  energy  instrumentalness   key  ...  mode  speechiness  \\\n",
+       "241999     223507.0   0.167          0.000000   6.0  ...   0.0       0.0297   \n",
+       "334300     204307.0   0.514          0.004250   5.0  ...   1.0       0.0391   \n",
+       "334301     191800.0   0.439          0.000001   7.0  ...   1.0       0.0311   \n",
+       "334302     189253.0   0.431          0.000314   0.0  ...   1.0       0.0406   \n",
+       "334303     209027.0   0.332          0.000000   5.0  ...   1.0       0.0336   \n",
+       "334304     208813.0   0.409          0.000006   7.0  ...   1.0       0.0477   \n",
+       "334305     198253.0   0.309          0.000000   0.0  ...   1.0       0.0347   \n",
+       "334306     203227.0   0.397          0.000001   7.0  ...   1.0       0.0458   \n",
+       "334307     168800.0   0.412          0.000000  10.0  ...   1.0       0.0462   \n",
+       "334308     194680.0   0.536          0.000031   2.0  ...   1.0       0.0333   \n",
+       "334309     170813.0   0.322          0.000000   7.0  ...   1.0       0.0288   \n",
+       "334310     185933.0   0.448          0.000049   0.0  ...   1.0       0.0366   \n",
+       "334311     168147.0   0.312          0.000007   2.0  ...   1.0       0.0315   \n",
+       "334312     207880.0   0.290          0.000000   5.0  ...   1.0       0.0473   \n",
+       "334313     172027.0   0.413          0.047700   2.0  ...   1.0       0.0367   \n",
+       "334314     180267.0   0.478          0.000022   7.0  ...   1.0       0.0775   \n",
+       "334315     188373.0   0.355          0.809000   5.0  ...   1.0       0.0347   \n",
+       "334316     178387.0   0.750          0.534000   2.0  ...   1.0       0.0399   \n",
+       "334317     185413.0   0.416          0.000003   7.0  ...   1.0       0.3810   \n",
+       "334318     174053.0   0.403          0.000000   7.0  ...   1.0       0.0450   \n",
+       "334319     181773.0   0.407          0.000141   8.0  ...   1.0       0.0267   \n",
+       "334320     189573.0   0.354          0.000007   3.0  ...   1.0       0.0499   \n",
+       "334321     183853.0   0.226          0.000000   5.0  ...   1.0       0.0351   \n",
+       "334322     197267.0   0.411          0.000029   1.0  ...   1.0       0.0390   \n",
+       "334323     189733.0   0.239          0.000000   8.0  ...   1.0       0.0335   \n",
+       "334324     201840.0   0.423          0.042300   2.0  ...   1.0       0.0326   \n",
+       "334325     196267.0   0.391          0.000000   0.0  ...   1.0       0.0334   \n",
+       "334326     160053.0   0.397          0.000008   5.0  ...   1.0       0.0402   \n",
+       "334327     193360.0   0.194          0.000000   5.0  ...   1.0       0.0849   \n",
+       "334328     207107.0   0.349          0.000013   6.0  ...   1.0       0.0339   \n",
+       "334329     153160.0   0.537          0.881000   2.0  ...   1.0       0.0414   \n",
+       "334330     183293.0   0.392          0.419000   2.0  ...   1.0       0.0476   \n",
+       "334331     175547.0   0.341          0.000032   8.0  ...   1.0       0.0436   \n",
+       "334332     180667.0   0.652          0.651000   0.0  ...   1.0       0.0313   \n",
+       "334333     188600.0   0.565          0.882000   8.0  ...   1.0       0.0350   \n",
+       "334334     183360.0   0.277          0.000000  10.0  ...   1.0       0.0323   \n",
+       "334335     151040.0   0.366          0.000000  11.0  ...   1.0       0.2550   \n",
+       "334336     187253.0   0.454          0.007220  10.0  ...   1.0       0.0391   \n",
+       "334337     191693.0   0.360          0.002530   9.0  ...   1.0       0.0406   \n",
+       "334338     171600.0   0.522          0.006000   6.0  ...   1.0       0.0599   \n",
+       "334339     160987.0   0.369          0.000003   2.0  ...   1.0       0.0323   \n",
+       "334340     260560.0   0.631          0.950000   0.0  ...   1.0       0.0571   \n",
+       "334341     159760.0   0.450          0.941000   0.0  ...   1.0       0.0652   \n",
+       "334342     178080.0   0.438          0.000000  10.0  ...   0.0       0.0846   \n",
+       "334343      97107.0   0.458          0.000000   4.0  ...   0.0       0.8840   \n",
+       "334344     185147.0   0.350          0.000000   7.0  ...   1.0       0.0387   \n",
+       "334345     195240.0   0.305          0.005340   5.0  ...   1.0       0.0338   \n",
+       "334346     170333.0   0.286          0.000003   8.0  ...   1.0       0.0406   \n",
+       "334347     174920.0   0.277          0.001640   4.0  ...   0.0       0.1960   \n",
+       "334348     177480.0   0.403          0.000001   2.0  ...   1.0       0.0429   \n",
+       "334349     187600.0   0.366          0.000009   2.0  ...   1.0       0.0497   \n",
+       "\n",
+       "          tempo  time_signature  valence                album_id        date  \\\n",
+       "241999   94.932             4.0    0.274  61vU2oVw8d5QkTNhW8PYla  2018-02-09   \n",
+       "334300  133.558             4.0    0.923  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334301  115.861             4.0    0.935  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334302  205.555             3.0    0.901  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334303  182.993             3.0    0.831  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334304  121.444             4.0    0.815  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334305   96.058             4.0    0.776  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334306  116.492             4.0    0.902  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334307  106.316             4.0    0.781  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334308  125.672             4.0    0.974  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334309   97.044             4.0    0.933  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334310  121.730             4.0    0.921  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334311  104.923             4.0    0.928  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334312  175.944             4.0    0.649  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334313  137.338             4.0    0.905  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334314  119.050             4.0    0.956  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334315  165.145             3.0    0.938  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334316  131.764             4.0    0.885  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334317  133.930             4.0    0.850  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334318  114.801             4.0    0.892  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334319   97.032             4.0    0.929  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334320   99.170             4.0    0.743  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334321  173.193             4.0    0.577  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334322  106.908             4.0    0.919  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334323   90.350             4.0    0.721  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334324  128.847             4.0    0.885  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334325  114.447             4.0    0.624  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334326  167.310             4.0    0.922  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334327   75.287             4.0    0.698  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334328   95.801             4.0    0.842  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334329  129.572             4.0    0.974  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334330  139.631             4.0    0.923  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334331  123.576             4.0    0.797  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334332  131.121             4.0    0.773  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334333  145.412             4.0    0.936  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334334  178.321             3.0    0.634  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334335   83.011             3.0    0.935  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334336  102.926             4.0    0.887  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334337  132.818             4.0    0.865  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334338  126.300             4.0    0.567  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334339  113.087             4.0    0.740  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334340  123.816             4.0    0.963  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334341  114.502             4.0    0.648  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334342  144.214             4.0    0.813  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334343  114.851             1.0    0.405  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334344  105.339             4.0    0.898  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334345  182.023             4.0    0.848  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334346  120.245             4.0    0.650  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334347   85.184             4.0    0.765  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334348  122.515             4.0    0.867  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "334349  124.802             4.0    0.873  0jckzrST0anXNTY13KMbSw        2005   \n",
+       "\n",
+       "       rank album_length  weeks_top  \n",
+       "241999  NaN          NaN        NaN  \n",
+       "334300  NaN          NaN        NaN  \n",
+       "334301  NaN          NaN        NaN  \n",
+       "334302  NaN          NaN        NaN  \n",
+       "334303  NaN          NaN        NaN  \n",
+       "334304  NaN          NaN        NaN  \n",
+       "334305  NaN          NaN        NaN  \n",
+       "334306  NaN          NaN        NaN  \n",
+       "334307  NaN          NaN        NaN  \n",
+       "334308  NaN          NaN        NaN  \n",
+       "334309  NaN          NaN        NaN  \n",
+       "334310  NaN          NaN        NaN  \n",
+       "334311  NaN          NaN        NaN  \n",
+       "334312  NaN          NaN        NaN  \n",
+       "334313  NaN          NaN        NaN  \n",
+       "334314  NaN          NaN        NaN  \n",
+       "334315  NaN          NaN        NaN  \n",
+       "334316  NaN          NaN        NaN  \n",
+       "334317  NaN          NaN        NaN  \n",
+       "334318  NaN          NaN        NaN  \n",
+       "334319  NaN          NaN        NaN  \n",
+       "334320  NaN          NaN        NaN  \n",
+       "334321  NaN          NaN        NaN  \n",
+       "334322  NaN          NaN        NaN  \n",
+       "334323  NaN          NaN        NaN  \n",
+       "334324  NaN          NaN        NaN  \n",
+       "334325  NaN          NaN        NaN  \n",
+       "334326  NaN          NaN        NaN  \n",
+       "334327  NaN          NaN        NaN  \n",
+       "334328  NaN          NaN        NaN  \n",
+       "334329  NaN          NaN        NaN  \n",
+       "334330  NaN          NaN        NaN  \n",
+       "334331  NaN          NaN        NaN  \n",
+       "334332  NaN          NaN        NaN  \n",
+       "334333  NaN          NaN        NaN  \n",
+       "334334  NaN          NaN        NaN  \n",
+       "334335  NaN          NaN        NaN  \n",
+       "334336  NaN          NaN        NaN  \n",
+       "334337  NaN          NaN        NaN  \n",
+       "334338  NaN          NaN        NaN  \n",
+       "334339  NaN          NaN        NaN  \n",
+       "334340  NaN          NaN        NaN  \n",
+       "334341  NaN          NaN        NaN  \n",
+       "334342  NaN          NaN        NaN  \n",
+       "334343  NaN          NaN        NaN  \n",
+       "334344  NaN          NaN        NaN  \n",
+       "334345  NaN          NaN        NaN  \n",
+       "334346  NaN          NaN        NaN  \n",
+       "334347  NaN          NaN        NaN  \n",
+       "334348  NaN          NaN        NaN  \n",
+       "334349  NaN          NaN        NaN  \n",
+       "\n",
+       "[51 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking[df_ranking['rank'].isnull()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_ranking.dropna(subset=[\"rank\"],inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                  0\n",
+       "song                0\n",
+       "album               0\n",
+       "artist              0\n",
+       "acousticness        5\n",
+       "danceability        5\n",
+       "duration_ms         5\n",
+       "energy              5\n",
+       "instrumentalness    5\n",
+       "key                 5\n",
+       "liveness            5\n",
+       "loudness            5\n",
+       "mode                5\n",
+       "speechiness         5\n",
+       "tempo               5\n",
+       "time_signature      5\n",
+       "valence             5\n",
+       "album_id            0\n",
+       "date                0\n",
+       "rank                0\n",
+       "album_length        0\n",
+       "weeks_top           0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_ranking.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id                          object\n",
+       "song                        object\n",
+       "album                       object\n",
+       "artist                      object\n",
+       "acousticness               float64\n",
+       "danceability               float64\n",
+       "duration_ms                float64\n",
+       "energy                     float64\n",
+       "instrumentalness           float64\n",
+       "key                        float64\n",
+       "liveness                   float64\n",
+       "loudness                   float64\n",
+       "mode                       float64\n",
+       "speechiness                float64\n",
+       "tempo                      float64\n",
+       "time_signature             float64\n",
+       "valence                    float64\n",
+       "album_id                    object\n",
+       "date                datetime64[ns]\n",
+       "rank                       float64\n",
+       "album_length               float64\n",
+       "weeks_top                  float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking[\"date\"] = pd.to_datetime(df_ranking[\"date\"])\n",
+    "df_ranking.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>acousticness</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.182143</td>\n",
+       "      <td>-0.107886</td>\n",
+       "      <td>-0.710306</td>\n",
+       "      <td>0.122013</td>\n",
+       "      <td>-0.027495</td>\n",
+       "      <td>-0.009117</td>\n",
+       "      <td>-0.559777</td>\n",
+       "      <td>0.077221</td>\n",
+       "      <td>0.015607</td>\n",
+       "      <td>-0.181678</td>\n",
+       "      <td>-0.183628</td>\n",
+       "      <td>-0.222275</td>\n",
+       "      <td>0.040918</td>\n",
+       "      <td>0.112558</td>\n",
+       "      <td>0.019238</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>danceability</th>\n",
+       "      <td>-0.182143</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.062980</td>\n",
+       "      <td>0.111136</td>\n",
+       "      <td>-0.195127</td>\n",
+       "      <td>0.022850</td>\n",
+       "      <td>-0.149399</td>\n",
+       "      <td>0.139794</td>\n",
+       "      <td>-0.054302</td>\n",
+       "      <td>0.153791</td>\n",
+       "      <td>-0.100058</td>\n",
+       "      <td>0.203910</td>\n",
+       "      <td>0.545940</td>\n",
+       "      <td>-0.024367</td>\n",
+       "      <td>-0.063765</td>\n",
+       "      <td>-0.021480</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>duration_ms</th>\n",
+       "      <td>-0.107886</td>\n",
+       "      <td>-0.062980</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.059378</td>\n",
+       "      <td>0.053816</td>\n",
+       "      <td>0.003708</td>\n",
+       "      <td>0.073463</td>\n",
+       "      <td>0.032735</td>\n",
+       "      <td>-0.051887</td>\n",
+       "      <td>-0.068570</td>\n",
+       "      <td>0.013874</td>\n",
+       "      <td>0.056457</td>\n",
+       "      <td>-0.126540</td>\n",
+       "      <td>-0.005704</td>\n",
+       "      <td>-0.040620</td>\n",
+       "      <td>-0.001930</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>energy</th>\n",
+       "      <td>-0.710306</td>\n",
+       "      <td>0.111136</td>\n",
+       "      <td>0.059378</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.127221</td>\n",
+       "      <td>0.032737</td>\n",
+       "      <td>0.174521</td>\n",
+       "      <td>0.762424</td>\n",
+       "      <td>-0.067245</td>\n",
+       "      <td>0.115465</td>\n",
+       "      <td>0.219666</td>\n",
+       "      <td>0.190627</td>\n",
+       "      <td>0.313298</td>\n",
+       "      <td>-0.030172</td>\n",
+       "      <td>-0.079614</td>\n",
+       "      <td>-0.021812</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <td>0.122013</td>\n",
+       "      <td>-0.195127</td>\n",
+       "      <td>0.053816</td>\n",
+       "      <td>-0.127221</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.011255</td>\n",
+       "      <td>-0.052372</td>\n",
+       "      <td>-0.282310</td>\n",
+       "      <td>-0.053474</td>\n",
+       "      <td>-0.104155</td>\n",
+       "      <td>-0.027658</td>\n",
+       "      <td>-0.045885</td>\n",
+       "      <td>-0.174594</td>\n",
+       "      <td>0.064075</td>\n",
+       "      <td>0.093708</td>\n",
+       "      <td>-0.003262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>key</th>\n",
+       "      <td>-0.027495</td>\n",
+       "      <td>0.022850</td>\n",
+       "      <td>0.003708</td>\n",
+       "      <td>0.032737</td>\n",
+       "      <td>-0.011255</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.001557</td>\n",
+       "      <td>0.020048</td>\n",
+       "      <td>-0.157706</td>\n",
+       "      <td>0.027993</td>\n",
+       "      <td>0.002152</td>\n",
+       "      <td>0.006778</td>\n",
+       "      <td>0.025340</td>\n",
+       "      <td>0.001331</td>\n",
+       "      <td>-0.006069</td>\n",
+       "      <td>-0.002369</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>liveness</th>\n",
+       "      <td>-0.009117</td>\n",
+       "      <td>-0.149399</td>\n",
+       "      <td>0.073463</td>\n",
+       "      <td>0.174521</td>\n",
+       "      <td>-0.052372</td>\n",
+       "      <td>-0.001557</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.062570</td>\n",
+       "      <td>0.011719</td>\n",
+       "      <td>0.235681</td>\n",
+       "      <td>0.002506</td>\n",
+       "      <td>-0.012652</td>\n",
+       "      <td>-0.034016</td>\n",
+       "      <td>-0.007086</td>\n",
+       "      <td>0.058215</td>\n",
+       "      <td>-0.006417</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>loudness</th>\n",
+       "      <td>-0.559777</td>\n",
+       "      <td>0.139794</td>\n",
+       "      <td>0.032735</td>\n",
+       "      <td>0.762424</td>\n",
+       "      <td>-0.282310</td>\n",
+       "      <td>0.020048</td>\n",
+       "      <td>0.062570</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.018038</td>\n",
+       "      <td>0.007524</td>\n",
+       "      <td>0.178224</td>\n",
+       "      <td>0.161884</td>\n",
+       "      <td>0.192464</td>\n",
+       "      <td>-0.049147</td>\n",
+       "      <td>-0.116179</td>\n",
+       "      <td>-0.022634</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mode</th>\n",
+       "      <td>0.077221</td>\n",
+       "      <td>-0.054302</td>\n",
+       "      <td>-0.051887</td>\n",
+       "      <td>-0.067245</td>\n",
+       "      <td>-0.053474</td>\n",
+       "      <td>-0.157706</td>\n",
+       "      <td>0.011719</td>\n",
+       "      <td>-0.018038</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.076368</td>\n",
+       "      <td>0.011123</td>\n",
+       "      <td>-0.012978</td>\n",
+       "      <td>0.009370</td>\n",
+       "      <td>0.004267</td>\n",
+       "      <td>0.012662</td>\n",
+       "      <td>0.015574</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speechiness</th>\n",
+       "      <td>0.015607</td>\n",
+       "      <td>0.153791</td>\n",
+       "      <td>-0.068570</td>\n",
+       "      <td>0.115465</td>\n",
+       "      <td>-0.104155</td>\n",
+       "      <td>0.027993</td>\n",
+       "      <td>0.235681</td>\n",
+       "      <td>0.007524</td>\n",
+       "      <td>-0.076368</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.030372</td>\n",
+       "      <td>-0.010185</td>\n",
+       "      <td>0.029355</td>\n",
+       "      <td>-0.020477</td>\n",
+       "      <td>0.014656</td>\n",
+       "      <td>-0.013571</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tempo</th>\n",
+       "      <td>-0.181678</td>\n",
+       "      <td>-0.100058</td>\n",
+       "      <td>0.013874</td>\n",
+       "      <td>0.219666</td>\n",
+       "      <td>-0.027658</td>\n",
+       "      <td>0.002152</td>\n",
+       "      <td>0.002506</td>\n",
+       "      <td>0.178224</td>\n",
+       "      <td>0.011123</td>\n",
+       "      <td>-0.030372</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.059849</td>\n",
+       "      <td>0.112866</td>\n",
+       "      <td>-0.003569</td>\n",
+       "      <td>-0.033232</td>\n",
+       "      <td>0.000926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>time_signature</th>\n",
+       "      <td>-0.183628</td>\n",
+       "      <td>0.203910</td>\n",
+       "      <td>0.056457</td>\n",
+       "      <td>0.190627</td>\n",
+       "      <td>-0.045885</td>\n",
+       "      <td>0.006778</td>\n",
+       "      <td>-0.012652</td>\n",
+       "      <td>0.161884</td>\n",
+       "      <td>-0.012978</td>\n",
+       "      <td>-0.010185</td>\n",
+       "      <td>0.059849</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.162042</td>\n",
+       "      <td>-0.011134</td>\n",
+       "      <td>-0.041868</td>\n",
+       "      <td>-0.004096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>valence</th>\n",
+       "      <td>-0.222275</td>\n",
+       "      <td>0.545940</td>\n",
+       "      <td>-0.126540</td>\n",
+       "      <td>0.313298</td>\n",
+       "      <td>-0.174594</td>\n",
+       "      <td>0.025340</td>\n",
+       "      <td>-0.034016</td>\n",
+       "      <td>0.192464</td>\n",
+       "      <td>0.009370</td>\n",
+       "      <td>0.029355</td>\n",
+       "      <td>0.112866</td>\n",
+       "      <td>0.162042</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.008667</td>\n",
+       "      <td>-0.023429</td>\n",
+       "      <td>0.006013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rank</th>\n",
+       "      <td>0.040918</td>\n",
+       "      <td>-0.024367</td>\n",
+       "      <td>-0.005704</td>\n",
+       "      <td>-0.030172</td>\n",
+       "      <td>0.064075</td>\n",
+       "      <td>0.001331</td>\n",
+       "      <td>-0.007086</td>\n",
+       "      <td>-0.049147</td>\n",
+       "      <td>0.004267</td>\n",
+       "      <td>-0.020477</td>\n",
+       "      <td>-0.003569</td>\n",
+       "      <td>-0.011134</td>\n",
+       "      <td>0.008667</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.010702</td>\n",
+       "      <td>-0.093513</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>album_length</th>\n",
+       "      <td>0.112558</td>\n",
+       "      <td>-0.063765</td>\n",
+       "      <td>-0.040620</td>\n",
+       "      <td>-0.079614</td>\n",
+       "      <td>0.093708</td>\n",
+       "      <td>-0.006069</td>\n",
+       "      <td>0.058215</td>\n",
+       "      <td>-0.116179</td>\n",
+       "      <td>0.012662</td>\n",
+       "      <td>0.014656</td>\n",
+       "      <td>-0.033232</td>\n",
+       "      <td>-0.041868</td>\n",
+       "      <td>-0.023429</td>\n",
+       "      <td>0.010702</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.071388</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weeks_top</th>\n",
+       "      <td>0.019238</td>\n",
+       "      <td>-0.021480</td>\n",
+       "      <td>-0.001930</td>\n",
+       "      <td>-0.021812</td>\n",
+       "      <td>-0.003262</td>\n",
+       "      <td>-0.002369</td>\n",
+       "      <td>-0.006417</td>\n",
+       "      <td>-0.022634</td>\n",
+       "      <td>0.015574</td>\n",
+       "      <td>-0.013571</td>\n",
+       "      <td>0.000926</td>\n",
+       "      <td>-0.004096</td>\n",
+       "      <td>0.006013</td>\n",
+       "      <td>-0.093513</td>\n",
+       "      <td>0.071388</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  acousticness  danceability  duration_ms    energy  \\\n",
+       "acousticness          1.000000     -0.182143    -0.107886 -0.710306   \n",
+       "danceability         -0.182143      1.000000    -0.062980  0.111136   \n",
+       "duration_ms          -0.107886     -0.062980     1.000000  0.059378   \n",
+       "energy               -0.710306      0.111136     0.059378  1.000000   \n",
+       "instrumentalness      0.122013     -0.195127     0.053816 -0.127221   \n",
+       "key                  -0.027495      0.022850     0.003708  0.032737   \n",
+       "liveness             -0.009117     -0.149399     0.073463  0.174521   \n",
+       "loudness             -0.559777      0.139794     0.032735  0.762424   \n",
+       "mode                  0.077221     -0.054302    -0.051887 -0.067245   \n",
+       "speechiness           0.015607      0.153791    -0.068570  0.115465   \n",
+       "tempo                -0.181678     -0.100058     0.013874  0.219666   \n",
+       "time_signature       -0.183628      0.203910     0.056457  0.190627   \n",
+       "valence              -0.222275      0.545940    -0.126540  0.313298   \n",
+       "rank                  0.040918     -0.024367    -0.005704 -0.030172   \n",
+       "album_length          0.112558     -0.063765    -0.040620 -0.079614   \n",
+       "weeks_top             0.019238     -0.021480    -0.001930 -0.021812   \n",
+       "\n",
+       "                  instrumentalness       key  liveness  loudness      mode  \\\n",
+       "acousticness              0.122013 -0.027495 -0.009117 -0.559777  0.077221   \n",
+       "danceability             -0.195127  0.022850 -0.149399  0.139794 -0.054302   \n",
+       "duration_ms               0.053816  0.003708  0.073463  0.032735 -0.051887   \n",
+       "energy                   -0.127221  0.032737  0.174521  0.762424 -0.067245   \n",
+       "instrumentalness          1.000000 -0.011255 -0.052372 -0.282310 -0.053474   \n",
+       "key                      -0.011255  1.000000 -0.001557  0.020048 -0.157706   \n",
+       "liveness                 -0.052372 -0.001557  1.000000  0.062570  0.011719   \n",
+       "loudness                 -0.282310  0.020048  0.062570  1.000000 -0.018038   \n",
+       "mode                     -0.053474 -0.157706  0.011719 -0.018038  1.000000   \n",
+       "speechiness              -0.104155  0.027993  0.235681  0.007524 -0.076368   \n",
+       "tempo                    -0.027658  0.002152  0.002506  0.178224  0.011123   \n",
+       "time_signature           -0.045885  0.006778 -0.012652  0.161884 -0.012978   \n",
+       "valence                  -0.174594  0.025340 -0.034016  0.192464  0.009370   \n",
+       "rank                      0.064075  0.001331 -0.007086 -0.049147  0.004267   \n",
+       "album_length              0.093708 -0.006069  0.058215 -0.116179  0.012662   \n",
+       "weeks_top                -0.003262 -0.002369 -0.006417 -0.022634  0.015574   \n",
+       "\n",
+       "                  speechiness     tempo  time_signature   valence      rank  \\\n",
+       "acousticness         0.015607 -0.181678       -0.183628 -0.222275  0.040918   \n",
+       "danceability         0.153791 -0.100058        0.203910  0.545940 -0.024367   \n",
+       "duration_ms         -0.068570  0.013874        0.056457 -0.126540 -0.005704   \n",
+       "energy               0.115465  0.219666        0.190627  0.313298 -0.030172   \n",
+       "instrumentalness    -0.104155 -0.027658       -0.045885 -0.174594  0.064075   \n",
+       "key                  0.027993  0.002152        0.006778  0.025340  0.001331   \n",
+       "liveness             0.235681  0.002506       -0.012652 -0.034016 -0.007086   \n",
+       "loudness             0.007524  0.178224        0.161884  0.192464 -0.049147   \n",
+       "mode                -0.076368  0.011123       -0.012978  0.009370  0.004267   \n",
+       "speechiness          1.000000 -0.030372       -0.010185  0.029355 -0.020477   \n",
+       "tempo               -0.030372  1.000000        0.059849  0.112866 -0.003569   \n",
+       "time_signature      -0.010185  0.059849        1.000000  0.162042 -0.011134   \n",
+       "valence              0.029355  0.112866        0.162042  1.000000  0.008667   \n",
+       "rank                -0.020477 -0.003569       -0.011134  0.008667  1.000000   \n",
+       "album_length         0.014656 -0.033232       -0.041868 -0.023429  0.010702   \n",
+       "weeks_top           -0.013571  0.000926       -0.004096  0.006013 -0.093513   \n",
+       "\n",
+       "                  album_length  weeks_top  \n",
+       "acousticness          0.112558   0.019238  \n",
+       "danceability         -0.063765  -0.021480  \n",
+       "duration_ms          -0.040620  -0.001930  \n",
+       "energy               -0.079614  -0.021812  \n",
+       "instrumentalness      0.093708  -0.003262  \n",
+       "key                  -0.006069  -0.002369  \n",
+       "liveness              0.058215  -0.006417  \n",
+       "loudness             -0.116179  -0.022634  \n",
+       "mode                  0.012662   0.015574  \n",
+       "speechiness           0.014656  -0.013571  \n",
+       "tempo                -0.033232   0.000926  \n",
+       "time_signature       -0.041868  -0.004096  \n",
+       "valence              -0.023429   0.006013  \n",
+       "rank                  0.010702  -0.093513  \n",
+       "album_length          1.000000   0.071388  \n",
+       "weeks_top             0.071388   1.000000  "
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking[df_ranking['rank']>=40].corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#sns.pairplot(df_ranking)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn import linear_model\n",
+    "from sklearn.preprocessing import PolynomialFeatures, StandardScaler\n",
+    "from sklearn.model_selection import train_test_split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'song', 'album', 'artist', 'acousticness', 'danceability',\n",
+       "       'duration_ms', 'energy', 'instrumentalness', 'key', 'liveness',\n",
+       "       'loudness', 'mode', 'speechiness', 'tempo', 'time_signature', 'valence',\n",
+       "       'album_id', 'date', 'rank', 'album_length', 'weeks_top'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0555</td>\n",
+       "      <td>0.754</td>\n",
+       "      <td>142301.0</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.101</td>\n",
+       "      <td>-6.311</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>90.195</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.2920</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>152829.0</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.106</td>\n",
+       "      <td>-9.061</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>126.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.1530</td>\n",
+       "      <td>0.718</td>\n",
+       "      <td>215305.0</td>\n",
+       "      <td>0.454</td>\n",
+       "      <td>0.000046</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.116</td>\n",
+       "      <td>-9.012</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>89.483</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.0153</td>\n",
+       "      <td>0.581</td>\n",
+       "      <td>189487.0</td>\n",
+       "      <td>0.662</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>0.111</td>\n",
+       "      <td>-5.239</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.303</td>\n",
+       "      <td>93.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.434</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.0235</td>\n",
+       "      <td>0.736</td>\n",
+       "      <td>192779.0</td>\n",
+       "      <td>0.622</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.151</td>\n",
+       "      <td>-4.653</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.133</td>\n",
+       "      <td>191.971</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.506</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   acousticness  danceability  duration_ms  energy  instrumentalness  key  \\\n",
+       "0        0.0555         0.754     142301.0   0.663          0.000000  6.0   \n",
+       "1        0.2920         0.860     152829.0   0.418          0.000000  7.0   \n",
+       "2        0.1530         0.718     215305.0   0.454          0.000046  8.0   \n",
+       "3        0.0153         0.581     189487.0   0.662          0.000000  9.0   \n",
+       "4        0.0235         0.736     192779.0   0.622          0.000000  6.0   \n",
+       "\n",
+       "   liveness  loudness  mode  speechiness    tempo  time_signature  valence  \\\n",
+       "0     0.101    -6.311   0.0        0.427   90.195             4.0    0.207   \n",
+       "1     0.106    -9.061   0.0        0.158  126.023             4.0    0.374   \n",
+       "2     0.116    -9.012   1.0        0.127   89.483             4.0    0.196   \n",
+       "3     0.111    -5.239   1.0        0.303   93.023             4.0    0.434   \n",
+       "4     0.151    -4.653   0.0        0.133  191.971             4.0    0.506   \n",
+       "\n",
+       "   album_length  weeks_top  \n",
+       "0          20.0        3.0  \n",
+       "1          20.0        3.0  \n",
+       "2          20.0        3.0  \n",
+       "3          20.0        3.0  \n",
+       "4          20.0        3.0  "
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = df_ranking.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = df_ranking[\"rank\"]\n",
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nclf = linear_model.SGDRegressor()\\nclf.fit(x_train, y_train)\\n\\n# clf is a trained model\\n\\ny_predicted = clf.predict(x_test)\\n\\n'"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\n",
+    "\"\"\"\n",
+    "clf = linear_model.SGDRegressor()\n",
+    "clf.fit(x_train, y_train)\n",
+    "\n",
+    "# clf is a trained model\n",
+    "\n",
+    "y_predicted = clf.predict(x_test)\n",
+    "\n",
+    "\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#clf.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create linear regression\n",
+    "regr = linear_model.LinearRegression()\n",
+    "\n",
+    "# Fit the linear regression\n",
+    "model = regr.fit(x_train, y_train)\n",
+    "# model = regr.fit(X_inter, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.06136701672338518"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.06176784039100125"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.score(x_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.neighbors import KNeighborsRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "knnr = KNeighborsRegressor(n_neighbors = 3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "modelkn = knnr.fit(x_train, y_train)  #fit the model\n",
+    "y_pred = knnr.predict(x_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.031727221643046866"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modelkn.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.tree import DecisionTreeRegressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tree = DecisionTreeRegressor(random_state = 29)\n",
+    "model_tree = tree.fit(x_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.10875448097643847"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model_tree.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>acousticness</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.196245</td>\n",
+       "      <td>-0.120949</td>\n",
+       "      <td>-0.706207</td>\n",
+       "      <td>0.118138</td>\n",
+       "      <td>-0.023548</td>\n",
+       "      <td>-0.006694</td>\n",
+       "      <td>-0.564874</td>\n",
+       "      <td>0.080622</td>\n",
+       "      <td>0.008277</td>\n",
+       "      <td>-0.175597</td>\n",
+       "      <td>-0.186598</td>\n",
+       "      <td>-0.219184</td>\n",
+       "      <td>0.078527</td>\n",
+       "      <td>0.101783</td>\n",
+       "      <td>-0.001565</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>danceability</th>\n",
+       "      <td>-0.196245</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.059958</td>\n",
+       "      <td>0.110363</td>\n",
+       "      <td>-0.190994</td>\n",
+       "      <td>0.022932</td>\n",
+       "      <td>-0.152606</td>\n",
+       "      <td>0.147712</td>\n",
+       "      <td>-0.070243</td>\n",
+       "      <td>0.174174</td>\n",
+       "      <td>-0.110415</td>\n",
+       "      <td>0.204945</td>\n",
+       "      <td>0.528247</td>\n",
+       "      <td>-0.063117</td>\n",
+       "      <td>-0.051154</td>\n",
+       "      <td>-0.012421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>duration_ms</th>\n",
+       "      <td>-0.120949</td>\n",
+       "      <td>-0.059958</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.067977</td>\n",
+       "      <td>0.045624</td>\n",
+       "      <td>0.004758</td>\n",
+       "      <td>0.067654</td>\n",
+       "      <td>0.045632</td>\n",
+       "      <td>-0.048022</td>\n",
+       "      <td>-0.079262</td>\n",
+       "      <td>0.018741</td>\n",
+       "      <td>0.060452</td>\n",
+       "      <td>-0.123794</td>\n",
+       "      <td>-0.007234</td>\n",
+       "      <td>-0.043910</td>\n",
+       "      <td>0.009410</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>energy</th>\n",
+       "      <td>-0.706207</td>\n",
+       "      <td>0.110363</td>\n",
+       "      <td>0.067977</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.119490</td>\n",
+       "      <td>0.030206</td>\n",
+       "      <td>0.168978</td>\n",
+       "      <td>0.760206</td>\n",
+       "      <td>-0.068125</td>\n",
+       "      <td>0.101827</td>\n",
+       "      <td>0.213848</td>\n",
+       "      <td>0.192208</td>\n",
+       "      <td>0.312593</td>\n",
+       "      <td>-0.054419</td>\n",
+       "      <td>-0.069048</td>\n",
+       "      <td>-0.004840</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <td>0.118138</td>\n",
+       "      <td>-0.190994</td>\n",
+       "      <td>0.045624</td>\n",
+       "      <td>-0.119490</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.007926</td>\n",
+       "      <td>-0.034715</td>\n",
+       "      <td>-0.275935</td>\n",
+       "      <td>-0.040215</td>\n",
+       "      <td>-0.106122</td>\n",
+       "      <td>-0.022825</td>\n",
+       "      <td>-0.046484</td>\n",
+       "      <td>-0.157912</td>\n",
+       "      <td>0.102455</td>\n",
+       "      <td>0.094062</td>\n",
+       "      <td>-0.003196</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>key</th>\n",
+       "      <td>-0.023548</td>\n",
+       "      <td>0.022932</td>\n",
+       "      <td>0.004758</td>\n",
+       "      <td>0.030206</td>\n",
+       "      <td>-0.007926</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.000565</td>\n",
+       "      <td>0.016887</td>\n",
+       "      <td>-0.162258</td>\n",
+       "      <td>0.031916</td>\n",
+       "      <td>-0.002499</td>\n",
+       "      <td>0.006337</td>\n",
+       "      <td>0.026532</td>\n",
+       "      <td>-0.000747</td>\n",
+       "      <td>-0.003424</td>\n",
+       "      <td>-0.002516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>liveness</th>\n",
+       "      <td>-0.006694</td>\n",
+       "      <td>-0.152606</td>\n",
+       "      <td>0.067654</td>\n",
+       "      <td>0.168978</td>\n",
+       "      <td>-0.034715</td>\n",
+       "      <td>-0.000565</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.044388</td>\n",
+       "      <td>0.010772</td>\n",
+       "      <td>0.221460</td>\n",
+       "      <td>0.002441</td>\n",
+       "      <td>-0.014402</td>\n",
+       "      <td>-0.026770</td>\n",
+       "      <td>0.011881</td>\n",
+       "      <td>0.068829</td>\n",
+       "      <td>0.009502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>loudness</th>\n",
+       "      <td>-0.564874</td>\n",
+       "      <td>0.147712</td>\n",
+       "      <td>0.045632</td>\n",
+       "      <td>0.760206</td>\n",
+       "      <td>-0.275935</td>\n",
+       "      <td>0.016887</td>\n",
+       "      <td>0.044388</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.029998</td>\n",
+       "      <td>-0.001124</td>\n",
+       "      <td>0.170974</td>\n",
+       "      <td>0.169111</td>\n",
+       "      <td>0.179312</td>\n",
+       "      <td>-0.101858</td>\n",
+       "      <td>-0.102410</td>\n",
+       "      <td>-0.019761</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mode</th>\n",
+       "      <td>0.080622</td>\n",
+       "      <td>-0.070243</td>\n",
+       "      <td>-0.048022</td>\n",
+       "      <td>-0.068125</td>\n",
+       "      <td>-0.040215</td>\n",
+       "      <td>-0.162258</td>\n",
+       "      <td>0.010772</td>\n",
+       "      <td>-0.029998</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.085274</td>\n",
+       "      <td>0.014724</td>\n",
+       "      <td>-0.015830</td>\n",
+       "      <td>-0.000469</td>\n",
+       "      <td>0.024217</td>\n",
+       "      <td>0.007610</td>\n",
+       "      <td>0.012935</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speechiness</th>\n",
+       "      <td>0.008277</td>\n",
+       "      <td>0.174174</td>\n",
+       "      <td>-0.079262</td>\n",
+       "      <td>0.101827</td>\n",
+       "      <td>-0.106122</td>\n",
+       "      <td>0.031916</td>\n",
+       "      <td>0.221460</td>\n",
+       "      <td>-0.001124</td>\n",
+       "      <td>-0.085274</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.031299</td>\n",
+       "      <td>-0.007632</td>\n",
+       "      <td>0.047409</td>\n",
+       "      <td>-0.044872</td>\n",
+       "      <td>0.028152</td>\n",
+       "      <td>-0.019129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tempo</th>\n",
+       "      <td>-0.175597</td>\n",
+       "      <td>-0.110415</td>\n",
+       "      <td>0.018741</td>\n",
+       "      <td>0.213848</td>\n",
+       "      <td>-0.022825</td>\n",
+       "      <td>-0.002499</td>\n",
+       "      <td>0.002441</td>\n",
+       "      <td>0.170974</td>\n",
+       "      <td>0.014724</td>\n",
+       "      <td>-0.031299</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.057768</td>\n",
+       "      <td>0.099147</td>\n",
+       "      <td>-0.003032</td>\n",
+       "      <td>-0.032450</td>\n",
+       "      <td>0.000883</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>time_signature</th>\n",
+       "      <td>-0.186598</td>\n",
+       "      <td>0.204945</td>\n",
+       "      <td>0.060452</td>\n",
+       "      <td>0.192208</td>\n",
+       "      <td>-0.046484</td>\n",
+       "      <td>0.006337</td>\n",
+       "      <td>-0.014402</td>\n",
+       "      <td>0.169111</td>\n",
+       "      <td>-0.015830</td>\n",
+       "      <td>-0.007632</td>\n",
+       "      <td>0.057768</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.159691</td>\n",
+       "      <td>-0.025005</td>\n",
+       "      <td>-0.034946</td>\n",
+       "      <td>0.003075</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>valence</th>\n",
+       "      <td>-0.219184</td>\n",
+       "      <td>0.528247</td>\n",
+       "      <td>-0.123794</td>\n",
+       "      <td>0.312593</td>\n",
+       "      <td>-0.157912</td>\n",
+       "      <td>0.026532</td>\n",
+       "      <td>-0.026770</td>\n",
+       "      <td>0.179312</td>\n",
+       "      <td>-0.000469</td>\n",
+       "      <td>0.047409</td>\n",
+       "      <td>0.099147</td>\n",
+       "      <td>0.159691</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.014298</td>\n",
+       "      <td>-0.017117</td>\n",
+       "      <td>0.018637</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rank</th>\n",
+       "      <td>0.078527</td>\n",
+       "      <td>-0.063117</td>\n",
+       "      <td>-0.007234</td>\n",
+       "      <td>-0.054419</td>\n",
+       "      <td>0.102455</td>\n",
+       "      <td>-0.000747</td>\n",
+       "      <td>0.011881</td>\n",
+       "      <td>-0.101858</td>\n",
+       "      <td>0.024217</td>\n",
+       "      <td>-0.044872</td>\n",
+       "      <td>-0.003032</td>\n",
+       "      <td>-0.025005</td>\n",
+       "      <td>0.014298</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.023332</td>\n",
+       "      <td>-0.184133</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>album_length</th>\n",
+       "      <td>0.101783</td>\n",
+       "      <td>-0.051154</td>\n",
+       "      <td>-0.043910</td>\n",
+       "      <td>-0.069048</td>\n",
+       "      <td>0.094062</td>\n",
+       "      <td>-0.003424</td>\n",
+       "      <td>0.068829</td>\n",
+       "      <td>-0.102410</td>\n",
+       "      <td>0.007610</td>\n",
+       "      <td>0.028152</td>\n",
+       "      <td>-0.032450</td>\n",
+       "      <td>-0.034946</td>\n",
+       "      <td>-0.017117</td>\n",
+       "      <td>0.023332</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.092760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weeks_top</th>\n",
+       "      <td>-0.001565</td>\n",
+       "      <td>-0.012421</td>\n",
+       "      <td>0.009410</td>\n",
+       "      <td>-0.004840</td>\n",
+       "      <td>-0.003196</td>\n",
+       "      <td>-0.002516</td>\n",
+       "      <td>0.009502</td>\n",
+       "      <td>-0.019761</td>\n",
+       "      <td>0.012935</td>\n",
+       "      <td>-0.019129</td>\n",
+       "      <td>0.000883</td>\n",
+       "      <td>0.003075</td>\n",
+       "      <td>0.018637</td>\n",
+       "      <td>-0.184133</td>\n",
+       "      <td>0.092760</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  acousticness  danceability  duration_ms    energy  \\\n",
+       "acousticness          1.000000     -0.196245    -0.120949 -0.706207   \n",
+       "danceability         -0.196245      1.000000    -0.059958  0.110363   \n",
+       "duration_ms          -0.120949     -0.059958     1.000000  0.067977   \n",
+       "energy               -0.706207      0.110363     0.067977  1.000000   \n",
+       "instrumentalness      0.118138     -0.190994     0.045624 -0.119490   \n",
+       "key                  -0.023548      0.022932     0.004758  0.030206   \n",
+       "liveness             -0.006694     -0.152606     0.067654  0.168978   \n",
+       "loudness             -0.564874      0.147712     0.045632  0.760206   \n",
+       "mode                  0.080622     -0.070243    -0.048022 -0.068125   \n",
+       "speechiness           0.008277      0.174174    -0.079262  0.101827   \n",
+       "tempo                -0.175597     -0.110415     0.018741  0.213848   \n",
+       "time_signature       -0.186598      0.204945     0.060452  0.192208   \n",
+       "valence              -0.219184      0.528247    -0.123794  0.312593   \n",
+       "rank                  0.078527     -0.063117    -0.007234 -0.054419   \n",
+       "album_length          0.101783     -0.051154    -0.043910 -0.069048   \n",
+       "weeks_top            -0.001565     -0.012421     0.009410 -0.004840   \n",
+       "\n",
+       "                  instrumentalness       key  liveness  loudness      mode  \\\n",
+       "acousticness              0.118138 -0.023548 -0.006694 -0.564874  0.080622   \n",
+       "danceability             -0.190994  0.022932 -0.152606  0.147712 -0.070243   \n",
+       "duration_ms               0.045624  0.004758  0.067654  0.045632 -0.048022   \n",
+       "energy                   -0.119490  0.030206  0.168978  0.760206 -0.068125   \n",
+       "instrumentalness          1.000000 -0.007926 -0.034715 -0.275935 -0.040215   \n",
+       "key                      -0.007926  1.000000 -0.000565  0.016887 -0.162258   \n",
+       "liveness                 -0.034715 -0.000565  1.000000  0.044388  0.010772   \n",
+       "loudness                 -0.275935  0.016887  0.044388  1.000000 -0.029998   \n",
+       "mode                     -0.040215 -0.162258  0.010772 -0.029998  1.000000   \n",
+       "speechiness              -0.106122  0.031916  0.221460 -0.001124 -0.085274   \n",
+       "tempo                    -0.022825 -0.002499  0.002441  0.170974  0.014724   \n",
+       "time_signature           -0.046484  0.006337 -0.014402  0.169111 -0.015830   \n",
+       "valence                  -0.157912  0.026532 -0.026770  0.179312 -0.000469   \n",
+       "rank                      0.102455 -0.000747  0.011881 -0.101858  0.024217   \n",
+       "album_length              0.094062 -0.003424  0.068829 -0.102410  0.007610   \n",
+       "weeks_top                -0.003196 -0.002516  0.009502 -0.019761  0.012935   \n",
+       "\n",
+       "                  speechiness     tempo  time_signature   valence      rank  \\\n",
+       "acousticness         0.008277 -0.175597       -0.186598 -0.219184  0.078527   \n",
+       "danceability         0.174174 -0.110415        0.204945  0.528247 -0.063117   \n",
+       "duration_ms         -0.079262  0.018741        0.060452 -0.123794 -0.007234   \n",
+       "energy               0.101827  0.213848        0.192208  0.312593 -0.054419   \n",
+       "instrumentalness    -0.106122 -0.022825       -0.046484 -0.157912  0.102455   \n",
+       "key                  0.031916 -0.002499        0.006337  0.026532 -0.000747   \n",
+       "liveness             0.221460  0.002441       -0.014402 -0.026770  0.011881   \n",
+       "loudness            -0.001124  0.170974        0.169111  0.179312 -0.101858   \n",
+       "mode                -0.085274  0.014724       -0.015830 -0.000469  0.024217   \n",
+       "speechiness          1.000000 -0.031299       -0.007632  0.047409 -0.044872   \n",
+       "tempo               -0.031299  1.000000        0.057768  0.099147 -0.003032   \n",
+       "time_signature      -0.007632  0.057768        1.000000  0.159691 -0.025005   \n",
+       "valence              0.047409  0.099147        0.159691  1.000000  0.014298   \n",
+       "rank                -0.044872 -0.003032       -0.025005  0.014298  1.000000   \n",
+       "album_length         0.028152 -0.032450       -0.034946 -0.017117  0.023332   \n",
+       "weeks_top           -0.019129  0.000883        0.003075  0.018637 -0.184133   \n",
+       "\n",
+       "                  album_length  weeks_top  \n",
+       "acousticness          0.101783  -0.001565  \n",
+       "danceability         -0.051154  -0.012421  \n",
+       "duration_ms          -0.043910   0.009410  \n",
+       "energy               -0.069048  -0.004840  \n",
+       "instrumentalness      0.094062  -0.003196  \n",
+       "key                  -0.003424  -0.002516  \n",
+       "liveness              0.068829   0.009502  \n",
+       "loudness             -0.102410  -0.019761  \n",
+       "mode                  0.007610   0.012935  \n",
+       "speechiness           0.028152  -0.019129  \n",
+       "tempo                -0.032450   0.000883  \n",
+       "time_signature       -0.034946   0.003075  \n",
+       "valence              -0.017117   0.018637  \n",
+       "rank                  0.023332  -0.184133  \n",
+       "album_length          1.000000   0.092760  \n",
+       "weeks_top             0.092760   1.000000  "
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_ranking.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.10788110644999849"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(2), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.15080483992299143"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "poly_model = make_pipeline (PolynomialFeatures(3), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "poly 4_model.score(x_test, y_test) 0.10449768259651138\n"
+     ]
+    }
+   ],
+   "source": [
+    "\"\"\"poly_model = make_pipeline (PolynomialFeatures(4), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)\"\"\"\n",
+    "print(\"poly 4_model.score(x_test, y_test)\",0.10449768259651138)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.decomposition import PCA, FastICA"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pca = PCA(n_components=0.98, whiten=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_pca = pca.fit_transform(x_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Original number of features: (271839, 15)\n",
+      "Reduced number of features: (271839, 1)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Original number of features:\", x_train.shape)\n",
+    "print(\"Reduced number of features:\", x_pca.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "5.679213538612037e-17"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x_pca.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9999981606742969"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x_pca.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'song', 'album', 'artist', 'acousticness', 'danceability',\n",
+       "       'duration_ms', 'energy', 'instrumentalness', 'key', 'liveness',\n",
+       "       'loudness', 'mode', 'speechiness', 'tempo', 'time_signature', 'valence',\n",
+       "       'album_id', 'date'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_acoustic_features.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "acoustic_features = df_acoustic_features.groupby(by=[\"artist\",'album'],as_index=False).agg({'acousticness':\"mean\", 'danceability':\"mean\",\n",
+    "       'duration_ms':\"mean\", 'energy':\"mean\", 'instrumentalness':\"mean\", 'key':\"mean\", 'liveness':\"mean\",\n",
+    "       'loudness':\"mean\", 'mode':\"mean\", 'speechiness':\"mean\", 'tempo':\"mean\", 'time_signature':\"mean\", 'valence':\"mean\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>artist</th>\n",
+       "      <th>album</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td></td>\n",
+       "      <td>Roots Of Country Music (1965)</td>\n",
+       "      <td>0.955120</td>\n",
+       "      <td>0.5914</td>\n",
+       "      <td>183874.12</td>\n",
+       "      <td>0.40312</td>\n",
+       "      <td>0.123693</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>0.235784</td>\n",
+       "      <td>-10.55644</td>\n",
+       "      <td>0.94</td>\n",
+       "      <td>0.07342</td>\n",
+       "      <td>125.94458</td>\n",
+       "      <td>3.84</td>\n",
+       "      <td>0.82632</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td></td>\n",
+       "      <td>Silhouette</td>\n",
+       "      <td>0.935000</td>\n",
+       "      <td>0.7310</td>\n",
+       "      <td>223507.00</td>\n",
+       "      <td>0.16700</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.124000</td>\n",
+       "      <td>-5.99000</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02970</td>\n",
+       "      <td>94.93200</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>0.27400</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>!!! (Chk Chk Chk)</td>\n",
+       "      <td>Myth Takes</td>\n",
+       "      <td>0.091973</td>\n",
+       "      <td>0.6465</td>\n",
+       "      <td>290017.30</td>\n",
+       "      <td>0.83180</td>\n",
+       "      <td>0.254866</td>\n",
+       "      <td>5.4</td>\n",
+       "      <td>0.233740</td>\n",
+       "      <td>-6.93900</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0.06929</td>\n",
+       "      <td>116.13620</td>\n",
+       "      <td>4.00</td>\n",
+       "      <td>0.56120</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              artist                          album  acousticness  \\\n",
+       "0                     Roots Of Country Music (1965)      0.955120   \n",
+       "1                                        Silhouette      0.935000   \n",
+       "2  !!! (Chk Chk Chk)                     Myth Takes      0.091973   \n",
+       "\n",
+       "   danceability  duration_ms   energy  instrumentalness  key  liveness  \\\n",
+       "0        0.5914    183874.12  0.40312          0.123693  4.8  0.235784   \n",
+       "1        0.7310    223507.00  0.16700          0.000000  6.0  0.124000   \n",
+       "2        0.6465    290017.30  0.83180          0.254866  5.4  0.233740   \n",
+       "\n",
+       "   loudness  mode  speechiness      tempo  time_signature  valence  \n",
+       "0 -10.55644  0.94      0.07342  125.94458            3.84  0.82632  \n",
+       "1  -5.99000  0.00      0.02970   94.93200            4.00  0.27400  \n",
+       "2  -6.93900  0.50      0.06929  116.13620            4.00  0.56120  "
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "acoustic_features.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "albums.drop(columns=[\"album_length\",\"track_length\" ], inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "album_rankings = acoustic_features.merge(albums, how=\"left\", on=[\"artist\",\"album\"] )"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "album_rankings.dropna(how=\"any\", inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.091973</td>\n",
+       "      <td>0.646500</td>\n",
+       "      <td>290017.300000</td>\n",
+       "      <td>0.831800</td>\n",
+       "      <td>2.548659e-01</td>\n",
+       "      <td>5.400000</td>\n",
+       "      <td>0.233740</td>\n",
+       "      <td>-6.939000</td>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>0.069290</td>\n",
+       "      <td>116.136200</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.561200</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.103543</td>\n",
+       "      <td>0.617333</td>\n",
+       "      <td>224445.750000</td>\n",
+       "      <td>0.779417</td>\n",
+       "      <td>1.455423e-03</td>\n",
+       "      <td>6.750000</td>\n",
+       "      <td>0.186483</td>\n",
+       "      <td>-8.733333</td>\n",
+       "      <td>0.916667</td>\n",
+       "      <td>0.055342</td>\n",
+       "      <td>126.187750</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.734250</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.180332</td>\n",
+       "      <td>0.635833</td>\n",
+       "      <td>230081.083333</td>\n",
+       "      <td>0.582417</td>\n",
+       "      <td>1.541667e-07</td>\n",
+       "      <td>5.166667</td>\n",
+       "      <td>0.143817</td>\n",
+       "      <td>-11.030333</td>\n",
+       "      <td>0.833333</td>\n",
+       "      <td>0.053600</td>\n",
+       "      <td>138.007667</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.676250</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.102670</td>\n",
+       "      <td>0.602583</td>\n",
+       "      <td>211534.500000</td>\n",
+       "      <td>0.689917</td>\n",
+       "      <td>8.552500e-06</td>\n",
+       "      <td>5.833333</td>\n",
+       "      <td>0.178708</td>\n",
+       "      <td>-8.451083</td>\n",
+       "      <td>0.750000</td>\n",
+       "      <td>0.055700</td>\n",
+       "      <td>128.061000</td>\n",
+       "      <td>3.916667</td>\n",
+       "      <td>0.677083</td>\n",
+       "      <td>56.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.205918</td>\n",
+       "      <td>0.716818</td>\n",
+       "      <td>205242.454545</td>\n",
+       "      <td>0.649909</td>\n",
+       "      <td>3.612727e-06</td>\n",
+       "      <td>5.363636</td>\n",
+       "      <td>0.122418</td>\n",
+       "      <td>-9.848636</td>\n",
+       "      <td>0.727273</td>\n",
+       "      <td>0.064791</td>\n",
+       "      <td>142.563091</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.770636</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   acousticness  danceability    duration_ms    energy  instrumentalness  \\\n",
+       "2      0.091973      0.646500  290017.300000  0.831800      2.548659e-01   \n",
+       "3      0.103543      0.617333  224445.750000  0.779417      1.455423e-03   \n",
+       "4      0.180332      0.635833  230081.083333  0.582417      1.541667e-07   \n",
+       "5      0.102670      0.602583  211534.500000  0.689917      8.552500e-06   \n",
+       "6      0.205918      0.716818  205242.454545  0.649909      3.612727e-06   \n",
+       "\n",
+       "        key  liveness   loudness      mode  speechiness       tempo  \\\n",
+       "2  5.400000  0.233740  -6.939000  0.500000     0.069290  116.136200   \n",
+       "3  6.750000  0.186483  -8.733333  0.916667     0.055342  126.187750   \n",
+       "4  5.166667  0.143817 -11.030333  0.833333     0.053600  138.007667   \n",
+       "5  5.833333  0.178708  -8.451083  0.750000     0.055700  128.061000   \n",
+       "6  5.363636  0.122418  -9.848636  0.727273     0.064791  142.563091   \n",
+       "\n",
+       "   time_signature   valence  weeks_top  \n",
+       "2        4.000000  0.561200        1.0  \n",
+       "3        4.000000  0.734250       26.0  \n",
+       "4        4.000000  0.676250        6.0  \n",
+       "5        3.916667  0.677083       56.0  \n",
+       "6        4.000000  0.770636       26.0  "
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = album_rankings.drop(columns=[\"album\",\"artist\",\"rank\",\"date_start\",\"date_end\",\"days_top\"])\n",
+    "y = album_rankings[\"rank\"]\n",
+    "x.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.1082450723739965"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(2), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>song</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>...</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0Veyvc3n9AcLSoK3r1dA12</td>\n",
+       "      <td>Voices In My Head</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.0555</td>\n",
+       "      <td>0.754</td>\n",
+       "      <td>142301.0</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>90.195</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>77JzXZonNumWsuXKy9vr3U</td>\n",
+       "      <td>Beasty</td>\n",
+       "      <td>Hoodie SZN</td>\n",
+       "      <td>A Boogie Wit da Hoodie</td>\n",
+       "      <td>0.2920</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>152829.0</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>126.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>3r5hf3Cj3EMh1C2saQ8jyt</td>\n",
+       "      <td>2018-12-21</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 22 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       id               song       album  \\\n",
+       "0  0Veyvc3n9AcLSoK3r1dA12  Voices In My Head  Hoodie SZN   \n",
+       "1  77JzXZonNumWsuXKy9vr3U             Beasty  Hoodie SZN   \n",
+       "\n",
+       "                   artist  acousticness  danceability  duration_ms  energy  \\\n",
+       "0  A Boogie Wit da Hoodie        0.0555         0.754     142301.0   0.663   \n",
+       "1  A Boogie Wit da Hoodie        0.2920         0.860     152829.0   0.418   \n",
+       "\n",
+       "   instrumentalness  key  ...  mode  speechiness    tempo  time_signature  \\\n",
+       "0               0.0  6.0  ...   0.0        0.427   90.195             4.0   \n",
+       "1               0.0  7.0  ...   0.0        0.158  126.023             4.0   \n",
+       "\n",
+       "   valence                album_id       date rank album_length  weeks_top  \n",
+       "0    0.207  3r5hf3Cj3EMh1C2saQ8jyt 2018-12-21  1.0         20.0        3.0  \n",
+       "1    0.374  3r5hf3Cj3EMh1C2saQ8jyt 2018-12-21  1.0         20.0        3.0  \n",
+       "\n",
+       "[2 rows x 22 columns]"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_40 = df_ranking[df_ranking[\"rank\"]<=40]\n",
+    "top_40.head(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "131333"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = top_40.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = top_40[\"rank\"]\n",
+    "x.energy.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.1006890820016928"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(3), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "recent_ranking = df_ranking[df_ranking.date > '2004-12-31']\n",
+    "old_ranking = df_ranking[df_ranking.date <= '2004-12-31']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(1991, 1, 12, 0, 0)"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from datetime import datetime\n",
+    "df_albums.date.max()\n",
+    "a = datetime(1963, 1, 5)\n",
+    "b = datetime(2019, 1 ,19)\n",
+    "a + (b - a)/2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9993704141733303"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "old_ranking.id.count()/recent_ranking.id.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0555</td>\n",
+       "      <td>0.754</td>\n",
+       "      <td>142301.0</td>\n",
+       "      <td>0.663</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.101</td>\n",
+       "      <td>-6.311</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.427</td>\n",
+       "      <td>90.195</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.2920</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>152829.0</td>\n",
+       "      <td>0.418</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0.106</td>\n",
+       "      <td>-9.061</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>126.023</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.374</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   acousticness  danceability  duration_ms  energy  instrumentalness  key  \\\n",
+       "0        0.0555         0.754     142301.0   0.663               0.0  6.0   \n",
+       "1        0.2920         0.860     152829.0   0.418               0.0  7.0   \n",
+       "\n",
+       "   liveness  loudness  mode  speechiness    tempo  time_signature  valence  \\\n",
+       "0     0.101    -6.311   0.0        0.427   90.195             4.0    0.207   \n",
+       "1     0.106    -9.061   0.0        0.158  126.023             4.0    0.374   \n",
+       "\n",
+       "   album_length  weeks_top  \n",
+       "0          20.0        3.0  \n",
+       "1          20.0        3.0  "
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x = recent_ranking.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = recent_ranking[\"rank\"]\n",
+    "x.head(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.12799465635727159"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(3), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = old_ranking.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = old_ranking[\"rank\"]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.12799465635727159"
+      ]
+     },
+     "execution_count": 95,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(3), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.6128328806147163"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "flash_hits = df_ranking[df_ranking.weeks_top <= 13]\n",
+    "flash_hits.energy.count()/df_ranking.energy.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = flash_hits.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = flash_hits[\"rank\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.24703788868644594"
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(2), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_ranking = df_ranking[df_ranking.date > '1961-12-31']\n",
+    "#test_ranking = df_ranking[df_ranking.date > '2008-12-31']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8850850061359804"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_ranking = test_ranking[test_ranking.weeks_top <= 52]\n",
+    "\n",
+    "test_ranking.energy.count()/df_ranking.energy.count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 102,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = test_ranking.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = test_ranking[\"rank\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.37654698821670396"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "poly_model = make_pipeline (PolynomialFeatures(2), linear_model.LinearRegression())\n",
+    "\n",
+    "model = poly_model.fit(x_train, y_train)\n",
+    "\n",
+    "poly_model.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 105,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_pred = poly_model.predict(x_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>acousticness</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.193424</td>\n",
+       "      <td>-0.114031</td>\n",
+       "      <td>-0.705559</td>\n",
+       "      <td>0.120800</td>\n",
+       "      <td>-0.024165</td>\n",
+       "      <td>-0.006213</td>\n",
+       "      <td>-0.565124</td>\n",
+       "      <td>0.080229</td>\n",
+       "      <td>0.000599</td>\n",
+       "      <td>-0.175110</td>\n",
+       "      <td>-0.185099</td>\n",
+       "      <td>-0.214512</td>\n",
+       "      <td>0.080585</td>\n",
+       "      <td>0.113221</td>\n",
+       "      <td>0.026523</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>danceability</th>\n",
+       "      <td>-0.193424</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.061157</td>\n",
+       "      <td>0.106031</td>\n",
+       "      <td>-0.192537</td>\n",
+       "      <td>0.022180</td>\n",
+       "      <td>-0.155726</td>\n",
+       "      <td>0.144868</td>\n",
+       "      <td>-0.068959</td>\n",
+       "      <td>0.176857</td>\n",
+       "      <td>-0.112543</td>\n",
+       "      <td>0.203449</td>\n",
+       "      <td>0.529373</td>\n",
+       "      <td>-0.066055</td>\n",
+       "      <td>-0.046264</td>\n",
+       "      <td>0.083294</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>duration_ms</th>\n",
+       "      <td>-0.114031</td>\n",
+       "      <td>-0.061157</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.063590</td>\n",
+       "      <td>0.047974</td>\n",
+       "      <td>0.004126</td>\n",
+       "      <td>0.068672</td>\n",
+       "      <td>0.039692</td>\n",
+       "      <td>-0.046986</td>\n",
+       "      <td>-0.078629</td>\n",
+       "      <td>0.017848</td>\n",
+       "      <td>0.058427</td>\n",
+       "      <td>-0.121044</td>\n",
+       "      <td>-0.006523</td>\n",
+       "      <td>-0.037612</td>\n",
+       "      <td>-0.003142</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>energy</th>\n",
+       "      <td>-0.705559</td>\n",
+       "      <td>0.106031</td>\n",
+       "      <td>0.063590</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.122764</td>\n",
+       "      <td>0.030370</td>\n",
+       "      <td>0.169483</td>\n",
+       "      <td>0.761897</td>\n",
+       "      <td>-0.067479</td>\n",
+       "      <td>0.109329</td>\n",
+       "      <td>0.213965</td>\n",
+       "      <td>0.189663</td>\n",
+       "      <td>0.305588</td>\n",
+       "      <td>-0.058473</td>\n",
+       "      <td>-0.080271</td>\n",
+       "      <td>-0.078506</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <td>0.120800</td>\n",
+       "      <td>-0.192537</td>\n",
+       "      <td>0.047974</td>\n",
+       "      <td>-0.122764</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.009171</td>\n",
+       "      <td>-0.040985</td>\n",
+       "      <td>-0.277801</td>\n",
+       "      <td>-0.040583</td>\n",
+       "      <td>-0.111850</td>\n",
+       "      <td>-0.023195</td>\n",
+       "      <td>-0.045723</td>\n",
+       "      <td>-0.160871</td>\n",
+       "      <td>0.100594</td>\n",
+       "      <td>0.094270</td>\n",
+       "      <td>-0.048149</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>key</th>\n",
+       "      <td>-0.024165</td>\n",
+       "      <td>0.022180</td>\n",
+       "      <td>0.004126</td>\n",
+       "      <td>0.030370</td>\n",
+       "      <td>-0.009171</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.000734</td>\n",
+       "      <td>0.017070</td>\n",
+       "      <td>-0.165398</td>\n",
+       "      <td>0.031355</td>\n",
+       "      <td>-0.002199</td>\n",
+       "      <td>0.006728</td>\n",
+       "      <td>0.025884</td>\n",
+       "      <td>-0.002136</td>\n",
+       "      <td>-0.003252</td>\n",
+       "      <td>0.004185</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>liveness</th>\n",
+       "      <td>-0.006213</td>\n",
+       "      <td>-0.155726</td>\n",
+       "      <td>0.068672</td>\n",
+       "      <td>0.169483</td>\n",
+       "      <td>-0.040985</td>\n",
+       "      <td>-0.000734</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.047659</td>\n",
+       "      <td>0.013482</td>\n",
+       "      <td>0.219141</td>\n",
+       "      <td>0.002841</td>\n",
+       "      <td>-0.014975</td>\n",
+       "      <td>-0.030920</td>\n",
+       "      <td>0.007093</td>\n",
+       "      <td>0.080717</td>\n",
+       "      <td>-0.041585</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>loudness</th>\n",
+       "      <td>-0.565124</td>\n",
+       "      <td>0.144868</td>\n",
+       "      <td>0.039692</td>\n",
+       "      <td>0.761897</td>\n",
+       "      <td>-0.277801</td>\n",
+       "      <td>0.017070</td>\n",
+       "      <td>0.047659</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.030375</td>\n",
+       "      <td>0.008834</td>\n",
+       "      <td>0.170433</td>\n",
+       "      <td>0.164482</td>\n",
+       "      <td>0.177095</td>\n",
+       "      <td>-0.105550</td>\n",
+       "      <td>-0.102282</td>\n",
+       "      <td>-0.123773</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mode</th>\n",
+       "      <td>0.080229</td>\n",
+       "      <td>-0.068959</td>\n",
+       "      <td>-0.046986</td>\n",
+       "      <td>-0.067479</td>\n",
+       "      <td>-0.040583</td>\n",
+       "      <td>-0.165398</td>\n",
+       "      <td>0.013482</td>\n",
+       "      <td>-0.030375</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.083805</td>\n",
+       "      <td>0.015805</td>\n",
+       "      <td>-0.016139</td>\n",
+       "      <td>0.001447</td>\n",
+       "      <td>0.029996</td>\n",
+       "      <td>0.011702</td>\n",
+       "      <td>0.004643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speechiness</th>\n",
+       "      <td>0.000599</td>\n",
+       "      <td>0.176857</td>\n",
+       "      <td>-0.078629</td>\n",
+       "      <td>0.109329</td>\n",
+       "      <td>-0.111850</td>\n",
+       "      <td>0.031355</td>\n",
+       "      <td>0.219141</td>\n",
+       "      <td>0.008834</td>\n",
+       "      <td>-0.083805</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.032465</td>\n",
+       "      <td>-0.005064</td>\n",
+       "      <td>0.046756</td>\n",
+       "      <td>-0.058129</td>\n",
+       "      <td>0.037621</td>\n",
+       "      <td>-0.032551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tempo</th>\n",
+       "      <td>-0.175110</td>\n",
+       "      <td>-0.112543</td>\n",
+       "      <td>0.017848</td>\n",
+       "      <td>0.213965</td>\n",
+       "      <td>-0.023195</td>\n",
+       "      <td>-0.002199</td>\n",
+       "      <td>0.002841</td>\n",
+       "      <td>0.170433</td>\n",
+       "      <td>0.015805</td>\n",
+       "      <td>-0.032465</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.056756</td>\n",
+       "      <td>0.097036</td>\n",
+       "      <td>-0.003143</td>\n",
+       "      <td>-0.033271</td>\n",
+       "      <td>-0.017837</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>time_signature</th>\n",
+       "      <td>-0.185099</td>\n",
+       "      <td>0.203449</td>\n",
+       "      <td>0.058427</td>\n",
+       "      <td>0.189663</td>\n",
+       "      <td>-0.045723</td>\n",
+       "      <td>0.006728</td>\n",
+       "      <td>-0.014975</td>\n",
+       "      <td>0.164482</td>\n",
+       "      <td>-0.016139</td>\n",
+       "      <td>-0.005064</td>\n",
+       "      <td>0.056756</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.157769</td>\n",
+       "      <td>-0.024061</td>\n",
+       "      <td>-0.031822</td>\n",
+       "      <td>0.016646</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>valence</th>\n",
+       "      <td>-0.214512</td>\n",
+       "      <td>0.529373</td>\n",
+       "      <td>-0.121044</td>\n",
+       "      <td>0.305588</td>\n",
+       "      <td>-0.160871</td>\n",
+       "      <td>0.025884</td>\n",
+       "      <td>-0.030920</td>\n",
+       "      <td>0.177095</td>\n",
+       "      <td>0.001447</td>\n",
+       "      <td>0.046756</td>\n",
+       "      <td>0.097036</td>\n",
+       "      <td>0.157769</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.014829</td>\n",
+       "      <td>-0.012078</td>\n",
+       "      <td>0.101173</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rank</th>\n",
+       "      <td>0.080585</td>\n",
+       "      <td>-0.066055</td>\n",
+       "      <td>-0.006523</td>\n",
+       "      <td>-0.058473</td>\n",
+       "      <td>0.100594</td>\n",
+       "      <td>-0.002136</td>\n",
+       "      <td>0.007093</td>\n",
+       "      <td>-0.105550</td>\n",
+       "      <td>0.029996</td>\n",
+       "      <td>-0.058129</td>\n",
+       "      <td>-0.003143</td>\n",
+       "      <td>-0.024061</td>\n",
+       "      <td>0.014829</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.029841</td>\n",
+       "      <td>-0.503327</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>album_length</th>\n",
+       "      <td>0.113221</td>\n",
+       "      <td>-0.046264</td>\n",
+       "      <td>-0.037612</td>\n",
+       "      <td>-0.080271</td>\n",
+       "      <td>0.094270</td>\n",
+       "      <td>-0.003252</td>\n",
+       "      <td>0.080717</td>\n",
+       "      <td>-0.102282</td>\n",
+       "      <td>0.011702</td>\n",
+       "      <td>0.037621</td>\n",
+       "      <td>-0.033271</td>\n",
+       "      <td>-0.031822</td>\n",
+       "      <td>-0.012078</td>\n",
+       "      <td>0.029841</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.066330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weeks_top</th>\n",
+       "      <td>0.026523</td>\n",
+       "      <td>0.083294</td>\n",
+       "      <td>-0.003142</td>\n",
+       "      <td>-0.078506</td>\n",
+       "      <td>-0.048149</td>\n",
+       "      <td>0.004185</td>\n",
+       "      <td>-0.041585</td>\n",
+       "      <td>-0.123773</td>\n",
+       "      <td>0.004643</td>\n",
+       "      <td>-0.032551</td>\n",
+       "      <td>-0.017837</td>\n",
+       "      <td>0.016646</td>\n",
+       "      <td>0.101173</td>\n",
+       "      <td>-0.503327</td>\n",
+       "      <td>-0.066330</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  acousticness  danceability  duration_ms    energy  \\\n",
+       "acousticness          1.000000     -0.193424    -0.114031 -0.705559   \n",
+       "danceability         -0.193424      1.000000    -0.061157  0.106031   \n",
+       "duration_ms          -0.114031     -0.061157     1.000000  0.063590   \n",
+       "energy               -0.705559      0.106031     0.063590  1.000000   \n",
+       "instrumentalness      0.120800     -0.192537     0.047974 -0.122764   \n",
+       "key                  -0.024165      0.022180     0.004126  0.030370   \n",
+       "liveness             -0.006213     -0.155726     0.068672  0.169483   \n",
+       "loudness             -0.565124      0.144868     0.039692  0.761897   \n",
+       "mode                  0.080229     -0.068959    -0.046986 -0.067479   \n",
+       "speechiness           0.000599      0.176857    -0.078629  0.109329   \n",
+       "tempo                -0.175110     -0.112543     0.017848  0.213965   \n",
+       "time_signature       -0.185099      0.203449     0.058427  0.189663   \n",
+       "valence              -0.214512      0.529373    -0.121044  0.305588   \n",
+       "rank                  0.080585     -0.066055    -0.006523 -0.058473   \n",
+       "album_length          0.113221     -0.046264    -0.037612 -0.080271   \n",
+       "weeks_top             0.026523      0.083294    -0.003142 -0.078506   \n",
+       "\n",
+       "                  instrumentalness       key  liveness  loudness      mode  \\\n",
+       "acousticness              0.120800 -0.024165 -0.006213 -0.565124  0.080229   \n",
+       "danceability             -0.192537  0.022180 -0.155726  0.144868 -0.068959   \n",
+       "duration_ms               0.047974  0.004126  0.068672  0.039692 -0.046986   \n",
+       "energy                   -0.122764  0.030370  0.169483  0.761897 -0.067479   \n",
+       "instrumentalness          1.000000 -0.009171 -0.040985 -0.277801 -0.040583   \n",
+       "key                      -0.009171  1.000000 -0.000734  0.017070 -0.165398   \n",
+       "liveness                 -0.040985 -0.000734  1.000000  0.047659  0.013482   \n",
+       "loudness                 -0.277801  0.017070  0.047659  1.000000 -0.030375   \n",
+       "mode                     -0.040583 -0.165398  0.013482 -0.030375  1.000000   \n",
+       "speechiness              -0.111850  0.031355  0.219141  0.008834 -0.083805   \n",
+       "tempo                    -0.023195 -0.002199  0.002841  0.170433  0.015805   \n",
+       "time_signature           -0.045723  0.006728 -0.014975  0.164482 -0.016139   \n",
+       "valence                  -0.160871  0.025884 -0.030920  0.177095  0.001447   \n",
+       "rank                      0.100594 -0.002136  0.007093 -0.105550  0.029996   \n",
+       "album_length              0.094270 -0.003252  0.080717 -0.102282  0.011702   \n",
+       "weeks_top                -0.048149  0.004185 -0.041585 -0.123773  0.004643   \n",
+       "\n",
+       "                  speechiness     tempo  time_signature   valence      rank  \\\n",
+       "acousticness         0.000599 -0.175110       -0.185099 -0.214512  0.080585   \n",
+       "danceability         0.176857 -0.112543        0.203449  0.529373 -0.066055   \n",
+       "duration_ms         -0.078629  0.017848        0.058427 -0.121044 -0.006523   \n",
+       "energy               0.109329  0.213965        0.189663  0.305588 -0.058473   \n",
+       "instrumentalness    -0.111850 -0.023195       -0.045723 -0.160871  0.100594   \n",
+       "key                  0.031355 -0.002199        0.006728  0.025884 -0.002136   \n",
+       "liveness             0.219141  0.002841       -0.014975 -0.030920  0.007093   \n",
+       "loudness             0.008834  0.170433        0.164482  0.177095 -0.105550   \n",
+       "mode                -0.083805  0.015805       -0.016139  0.001447  0.029996   \n",
+       "speechiness          1.000000 -0.032465       -0.005064  0.046756 -0.058129   \n",
+       "tempo               -0.032465  1.000000        0.056756  0.097036 -0.003143   \n",
+       "time_signature      -0.005064  0.056756        1.000000  0.157769 -0.024061   \n",
+       "valence              0.046756  0.097036        0.157769  1.000000  0.014829   \n",
+       "rank                -0.058129 -0.003143       -0.024061  0.014829  1.000000   \n",
+       "album_length         0.037621 -0.033271       -0.031822 -0.012078  0.029841   \n",
+       "weeks_top           -0.032551 -0.017837        0.016646  0.101173 -0.503327   \n",
+       "\n",
+       "                  album_length  weeks_top  \n",
+       "acousticness          0.113221   0.026523  \n",
+       "danceability         -0.046264   0.083294  \n",
+       "duration_ms          -0.037612  -0.003142  \n",
+       "energy               -0.080271  -0.078506  \n",
+       "instrumentalness      0.094270  -0.048149  \n",
+       "key                  -0.003252   0.004185  \n",
+       "liveness              0.080717  -0.041585  \n",
+       "loudness             -0.102282  -0.123773  \n",
+       "mode                  0.011702   0.004643  \n",
+       "speechiness           0.037621  -0.032551  \n",
+       "tempo                -0.033271  -0.017837  \n",
+       "time_signature       -0.031822   0.016646  \n",
+       "valence              -0.012078   0.101173  \n",
+       "rank                  0.029841  -0.503327  \n",
+       "album_length          1.000000  -0.066330  \n",
+       "weeks_top            -0.066330   1.000000  "
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_ranking.corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 107,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.37654698821670396"
+      ]
+     },
+     "execution_count": 107,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import r2_score\n",
+    "\n",
+    "r2_score(y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 108,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'clf = linear_model.SGDRegressor(max_iter=1000, tol=1e-3)\\nmodel_clf= clf.fit(x_train, y_train)\\nmodel_clf.score(x_test, y_test)'"
+      ]
+     },
+     "execution_count": 108,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"clf = linear_model.SGDRegressor(max_iter=1000, tol=1e-3)\n",
+    "model_clf= clf.fit(x_train, y_train)\n",
+    "model_clf.score(x_test, y_test)\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mask_corr = test_ranking.corr() "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>acousticness</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>danceability</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>duration_ms</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>energy</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.761897</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>key</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>liveness</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>loudness</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.761897</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mode</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speechiness</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>tempo</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>time_signature</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>valence</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rank</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>album_length</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>weeks_top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  acousticness  danceability  duration_ms    energy  \\\n",
+       "acousticness               1.0           NaN          NaN       NaN   \n",
+       "danceability               NaN           1.0          NaN       NaN   \n",
+       "duration_ms                NaN           NaN          1.0       NaN   \n",
+       "energy                     NaN           NaN          NaN  1.000000   \n",
+       "instrumentalness           NaN           NaN          NaN       NaN   \n",
+       "key                        NaN           NaN          NaN       NaN   \n",
+       "liveness                   NaN           NaN          NaN       NaN   \n",
+       "loudness                   NaN           NaN          NaN  0.761897   \n",
+       "mode                       NaN           NaN          NaN       NaN   \n",
+       "speechiness                NaN           NaN          NaN       NaN   \n",
+       "tempo                      NaN           NaN          NaN       NaN   \n",
+       "time_signature             NaN           NaN          NaN       NaN   \n",
+       "valence                    NaN           NaN          NaN       NaN   \n",
+       "rank                       NaN           NaN          NaN       NaN   \n",
+       "album_length               NaN           NaN          NaN       NaN   \n",
+       "weeks_top                  NaN           NaN          NaN       NaN   \n",
+       "\n",
+       "                  instrumentalness  key  liveness  loudness  mode  \\\n",
+       "acousticness                   NaN  NaN       NaN       NaN   NaN   \n",
+       "danceability                   NaN  NaN       NaN       NaN   NaN   \n",
+       "duration_ms                    NaN  NaN       NaN       NaN   NaN   \n",
+       "energy                         NaN  NaN       NaN  0.761897   NaN   \n",
+       "instrumentalness               1.0  NaN       NaN       NaN   NaN   \n",
+       "key                            NaN  1.0       NaN       NaN   NaN   \n",
+       "liveness                       NaN  NaN       1.0       NaN   NaN   \n",
+       "loudness                       NaN  NaN       NaN  1.000000   NaN   \n",
+       "mode                           NaN  NaN       NaN       NaN   1.0   \n",
+       "speechiness                    NaN  NaN       NaN       NaN   NaN   \n",
+       "tempo                          NaN  NaN       NaN       NaN   NaN   \n",
+       "time_signature                 NaN  NaN       NaN       NaN   NaN   \n",
+       "valence                        NaN  NaN       NaN       NaN   NaN   \n",
+       "rank                           NaN  NaN       NaN       NaN   NaN   \n",
+       "album_length                   NaN  NaN       NaN       NaN   NaN   \n",
+       "weeks_top                      NaN  NaN       NaN       NaN   NaN   \n",
+       "\n",
+       "                  speechiness  tempo  time_signature  valence  rank  \\\n",
+       "acousticness              NaN    NaN             NaN      NaN   NaN   \n",
+       "danceability              NaN    NaN             NaN      NaN   NaN   \n",
+       "duration_ms               NaN    NaN             NaN      NaN   NaN   \n",
+       "energy                    NaN    NaN             NaN      NaN   NaN   \n",
+       "instrumentalness          NaN    NaN             NaN      NaN   NaN   \n",
+       "key                       NaN    NaN             NaN      NaN   NaN   \n",
+       "liveness                  NaN    NaN             NaN      NaN   NaN   \n",
+       "loudness                  NaN    NaN             NaN      NaN   NaN   \n",
+       "mode                      NaN    NaN             NaN      NaN   NaN   \n",
+       "speechiness               1.0    NaN             NaN      NaN   NaN   \n",
+       "tempo                     NaN    1.0             NaN      NaN   NaN   \n",
+       "time_signature            NaN    NaN             1.0      NaN   NaN   \n",
+       "valence                   NaN    NaN             NaN      1.0   NaN   \n",
+       "rank                      NaN    NaN             NaN      NaN   1.0   \n",
+       "album_length              NaN    NaN             NaN      NaN   NaN   \n",
+       "weeks_top                 NaN    NaN             NaN      NaN   NaN   \n",
+       "\n",
+       "                  album_length  weeks_top  \n",
+       "acousticness               NaN        NaN  \n",
+       "danceability               NaN        NaN  \n",
+       "duration_ms                NaN        NaN  \n",
+       "energy                     NaN        NaN  \n",
+       "instrumentalness           NaN        NaN  \n",
+       "key                        NaN        NaN  \n",
+       "liveness                   NaN        NaN  \n",
+       "loudness                   NaN        NaN  \n",
+       "mode                       NaN        NaN  \n",
+       "speechiness                NaN        NaN  \n",
+       "tempo                      NaN        NaN  \n",
+       "time_signature             NaN        NaN  \n",
+       "valence                    NaN        NaN  \n",
+       "rank                       NaN        NaN  \n",
+       "album_length               1.0        NaN  \n",
+       "weeks_top                  NaN        1.0  "
+      ]
+     },
+     "execution_count": 110,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask_corr[mask_corr>0.7]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_ranking.loc[test_ranking['rank'] <= 10, 'rank'] = 1\n",
+    "test_ranking.loc[test_ranking['rank'] > 10, 'rank'] = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = test_ranking.drop(columns=[\"song\",\"album\",\"artist\",\"id\",\"rank\",\"album_id\",\"date\"])\n",
+    "y = test_ranking[\"rank\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.20, random_state = 42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"from sklearn.preprocessing import MinMaxScaler, StandardScaler   # what's the difference??\\n\\nscaler = MinMaxScaler(feature_range=(-2,2))\\nds['thalach'] = scaler.fit_transform(ds.thalach.values.reshape(-1, 1))\\nds.describe()\""
+      ]
+     },
+     "execution_count": 114,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"from sklearn.preprocessing import MinMaxScaler, StandardScaler   # what's the difference??\n",
+    "\n",
+    "scaler = MinMaxScaler(feature_range=(-2,2))\n",
+    "ds['thalach'] = scaler.fit_transform(ds.thalach.values.reshape(-1, 1))\n",
+    "ds.describe()\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
+      "  FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0.8750477963791126"
+      ]
+     },
+     "execution_count": 145,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lr = LogisticRegression()\n",
+    "log_mod = lr.fit(x_train,y_train)\n",
+    "\n",
+    "y_pred = log_mod.predict(x_test)\n",
+    "log_mod.score(x_test,y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8562118668018819"
+      ]
+     },
+     "execution_count": 117,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.tree import DecisionTreeClassifier\n",
+    "dtc = DecisionTreeClassifier()\n",
+    "dtc.fit(x_train, y_train)\n",
+    "\n",
+    "dtc.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'from sklearn.svm import SVC\\nsvm = SVC()\\nsvm.fit(x_train, y_train)\\n\\nacc = svm.score(x_test,y_test)'"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "\"\"\"from sklearn.svm import SVC\n",
+    "svm = SVC()\n",
+    "svm.fit(x_train, y_train)\n",
+    "\n",
+    "acc = svm.score(x_test,y_test)\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8760452860301574"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "knn = KNeighborsClassifier(n_neighbors = 23)  # n_neighbors means k\n",
+    "knn.fit(x_train, y_train)\n",
+    "y_pred = knn.predict(x_test)\n",
+    "\n",
+    "acc = knn.score(x_test, y_test)\n",
+    "acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from sklearn.model_selection import GridSearchCV"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'n_neighbors': 23}"
+      ]
+     },
+     "execution_count": 121,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "param_grid = {'n_neighbors': np.arange(1,30)}\n",
+    "knn = KNeighborsClassifier()\n",
+    "knn_cv = GridSearchCV(knn, param_grid, cv=5)\n",
+    "knn_cv.fit(x_train,y_train)\n",
+    "knn_cv.best_params_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8699938488138186"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "knn = KNeighborsClassifier(n_neighbors = 2)  # n_neighbors means k\n",
+    "knn.fit(x_train, y_train)\n",
+    "y_pred = knn.predict(x_test)\n",
+    "\n",
+    "acc = knn.score(x_test, y_test)\n",
+    "acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import classification_report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "     class 0       0.88      0.99      0.93     52690\n",
+      "     class 1       0.35      0.06      0.10      7461\n",
+      "\n",
+      "    accuracy                           0.87     60151\n",
+      "   macro avg       0.61      0.52      0.51     60151\n",
+      "weighted avg       0.81      0.87      0.83     60151\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "target_names = ['class 0', 'class 1']\n",
+    "print(classification_report(y_test, y_pred, target_names=target_names))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Predicted Not StwDev</th>\n",
+       "      <th>Predicted StwDev</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>True Not StwDev</th>\n",
+       "      <td>42423</td>\n",
+       "      <td>10267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True StwDev</th>\n",
+       "      <td>4894</td>\n",
+       "      <td>2567</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 Predicted Not StwDev  Predicted StwDev\n",
+       "True Not StwDev                 42423             10267\n",
+       "True StwDev                      4894              2567"
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import confusion_matrix\n",
+    "\n",
+    "cm = pd.DataFrame(\n",
+    "    confusion_matrix(y_test, y_pred),\n",
+    "    columns=['Predicted Not StwDev', 'Predicted StwDev'],\n",
+    "    index=['True Not StwDev', 'True StwDev'])\n",
+    "\n",
+    "cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "52316 374 7142 319\n"
+     ]
+    }
+   ],
+   "source": [
+    "tn, fp, fn, tp = confusion_matrix(y_test, y_pred).ravel()\n",
+    "print(tn, fp, fn, tp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0    263582\n",
+       "1.0     37169\n",
+       "Name: rank, dtype: int64"
+      ]
+     },
+     "execution_count": 126,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test_ranking[\"rank\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.12358728649281299"
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "37169/ (263582 + 37169)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0    29708\n",
+       "0.0    29708\n",
+       "Name: rank, dtype: int64"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# resample the data\n",
+    "\n",
+    "from sklearn.utils import resample\n",
+    "\n",
+    "# concatenate our training data back together\n",
+    "\n",
+    "x_concat = pd.concat([x_train, y_train], axis=1)\n",
+    "\n",
+    "# separate minority and majority classes\n",
+    "\n",
+    "non_hit = x_concat[x_concat['rank']==0]\n",
+    "\n",
+    "hit = x_concat[x_concat['rank']==1]\n",
+    "\n",
+    "y_train.value_counts()\n",
+    "\n",
+    "# downsample non occupied sample\n",
+    "\n",
+    "non_hit_downsampled = resample(non_hit,\n",
+    "\n",
+    "                   replace = False, # sample without replacement\n",
+    "\n",
+    "                    n_samples = len(hit), # match minority n\n",
+    "\n",
+    "                                random_state = 29) # reproducible results\n",
+    "\n",
+    "# combine minority and downsampled majority\n",
+    "\n",
+    "downsampled = pd.concat([non_hit_downsampled, hit])\n",
+    "\n",
+    "# checking counts\n",
+    "\n",
+    "downsampled[\"rank\"].value_counts()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>duration_ms</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>key</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>mode</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "      <th>valence</th>\n",
+       "      <th>album_length</th>\n",
+       "      <th>weeks_top</th>\n",
+       "      <th>rank</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>271189</th>\n",
+       "      <td>0.3780</td>\n",
+       "      <td>0.824</td>\n",
+       "      <td>180307.0</td>\n",
+       "      <td>0.517</td>\n",
+       "      <td>0.000043</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.0432</td>\n",
+       "      <td>-12.396</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0366</td>\n",
+       "      <td>124.044</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.9630</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>217306</th>\n",
+       "      <td>0.8640</td>\n",
+       "      <td>0.466</td>\n",
+       "      <td>61000.0</td>\n",
+       "      <td>0.963</td>\n",
+       "      <td>0.000102</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0.7750</td>\n",
+       "      <td>-14.753</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.8720</td>\n",
+       "      <td>102.623</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.0322</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>101493</th>\n",
+       "      <td>0.0474</td>\n",
+       "      <td>0.707</td>\n",
+       "      <td>279960.0</td>\n",
+       "      <td>0.838</td>\n",
+       "      <td>0.000921</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>0.0955</td>\n",
+       "      <td>-5.480</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0515</td>\n",
+       "      <td>117.965</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.8610</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>59528</th>\n",
+       "      <td>0.2510</td>\n",
+       "      <td>0.435</td>\n",
+       "      <td>280376.0</td>\n",
+       "      <td>0.732</td>\n",
+       "      <td>0.442000</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.1450</td>\n",
+       "      <td>-10.034</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0275</td>\n",
+       "      <td>162.366</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.7510</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89637</th>\n",
+       "      <td>0.6750</td>\n",
+       "      <td>0.469</td>\n",
+       "      <td>96853.0</td>\n",
+       "      <td>0.317</td>\n",
+       "      <td>0.044200</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.3220</td>\n",
+       "      <td>-10.863</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0264</td>\n",
+       "      <td>159.841</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.3770</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        acousticness  danceability  duration_ms  energy  instrumentalness  \\\n",
+       "271189        0.3780         0.824     180307.0   0.517          0.000043   \n",
+       "217306        0.8640         0.466      61000.0   0.963          0.000102   \n",
+       "101493        0.0474         0.707     279960.0   0.838          0.000921   \n",
+       "59528         0.2510         0.435     280376.0   0.732          0.442000   \n",
+       "89637         0.6750         0.469      96853.0   0.317          0.044200   \n",
+       "\n",
+       "         key  liveness  loudness  mode  speechiness    tempo  time_signature  \\\n",
+       "271189  10.0    0.0432   -12.396   1.0       0.0366  124.044             4.0   \n",
+       "217306  10.0    0.7750   -14.753   0.0       0.8720  102.623             4.0   \n",
+       "101493   5.0    0.0955    -5.480   0.0       0.0515  117.965             4.0   \n",
+       "59528    6.0    0.1450   -10.034   0.0       0.0275  162.366             4.0   \n",
+       "89637    2.0    0.3220   -10.863   1.0       0.0264  159.841             3.0   \n",
+       "\n",
+       "        valence  album_length  weeks_top  rank  \n",
+       "271189   0.9630          12.0       18.0   0.0  \n",
+       "217306   0.0322          15.0        3.0   0.0  \n",
+       "101493   0.8610          13.0        2.0   0.0  \n",
+       "59528    0.7510          11.0        3.0   0.0  \n",
+       "89637    0.3770          24.0        1.0   0.0  "
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "downsampled.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_traind = downsampled.drop(columns=[\"rank\"])\n",
+    "y_traind = downsampled[\"rank\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\sklearn\\linear_model\\logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
+      "  FutureWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "0.8038436601220262"
+      ]
+     },
+     "execution_count": 147,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lr = LogisticRegression()\n",
+    "log_mod = lr.fit(x_traind,y_traind)\n",
+    "y_pred = log_mod.predict(x_test)\n",
+    "log_mod.score(x_test,y_test)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Predicted Not StwDev</th>\n",
+       "      <th>Predicted StwDev</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>True Not StwDev</th>\n",
+       "      <td>42961</td>\n",
+       "      <td>9729</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True StwDev</th>\n",
+       "      <td>2070</td>\n",
+       "      <td>5391</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 Predicted Not StwDev  Predicted StwDev\n",
+       "True Not StwDev                 42961              9729\n",
+       "True StwDev                      2070              5391"
+      ]
+     },
+     "execution_count": 132,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cm = pd.DataFrame(\n",
+    "    confusion_matrix(y_test, y_pred),\n",
+    "    columns=['Predicted Not StwDev', 'Predicted StwDev'],\n",
+    "    index=['True Not StwDev', 'True StwDev'])\n",
+    "\n",
+    "cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "42961 9729 2070 5391\n"
+     ]
+    }
+   ],
+   "source": [
+    "tn, fp, fn, tp = confusion_matrix(y_test, y_pred).ravel()\n",
+    "print(tn, fp, fn, tp)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "     class 0       0.95      0.82      0.88     52690\n",
+      "     class 1       0.36      0.72      0.48      7461\n",
+      "\n",
+      "    accuracy                           0.80     60151\n",
+      "   macro avg       0.66      0.77      0.68     60151\n",
+      "weighted avg       0.88      0.80      0.83     60151\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(y_test, y_pred, target_names=target_names))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.750494588618643"
+      ]
+     },
+     "execution_count": 134,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dtc = DecisionTreeClassifier()\n",
+    "dtc.fit(x_traind, y_traind)\n",
+    "\n",
+    "dtc.score(x_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.7479509900084786"
+      ]
+     },
+     "execution_count": 135,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "knn = KNeighborsClassifier(n_neighbors = 2)  # n_neighbors means k\n",
+    "knn.fit(x_traind, y_traind)\n",
+    "y_pred = knn.predict(x_test)\n",
+    "\n",
+    "acc = knn.score(x_test, y_test)\n",
+    "acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "not enough values to unpack (expected 4, got 2)",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[1;32m<ipython-input-140-25caab9b5114>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfp\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mconfusion_matrix\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_pred\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m: not enough values to unpack (expected 4, got 2)"
+     ]
+    }
+   ],
+   "source": [
+    "tn, fp, fn, tp = confusion_matrix(y_test, y_pred)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8153539571076106"
+      ]
+     },
+     "execution_count": 156,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "42961/(42961+9729)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}