FinalProject_group045.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COGS 108 - Final Project "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The background of the  Spotify Tracks Database contains the songs related features including genre, artist, track, id, popularity and  so on. Each song in the Spotify database has a unique ID. We can apply the features such as genre and popularity to predict the popularity of a song based on its genre, and we can predict how is the popularity of a song being related to the singer. We can even combine multiple characteristics of a song to predict whether a song with certain crucial features will be most likely to be popular in the features. \n",
    "The database we chose is newly updated in 2019 March, so very few online projects applied this database yet, but we can find some other Spotify database in previous years and applied the ideas from those database related projects.\n",
    "\n",
    " This data is extremely useful for artists or producers that are looking to create the next “hit” song.  By utilizing the given data, they can possibly predict what the next “hit” song will be by analyzing the data of song features and determining if there is a correlation.  We can apply the features such as genre and popularity to predict the popularity of a song based on its genre, and we can predict how is the popularity of a song being related to the artist. We can even combine multiple features of a song to predict whether a song with certain crucial features will be most likely to be popular in the features. We want to discover the specific song features that all top charting songs share, if there are any.  We will look at specifically chosen song features to see if there is a correlation between songs sharing similar features that are in the top charts.  If our hypothesis is correct, it will show that songs in music top charts share similar song features.  Thus, this will lead us to be able to predict the next “hit” song. \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Names\n",
    "\n",
    "-Yu Shen: set up, Data Cleaning, Model Training, Data Analysis & Results\n",
    "\n",
    "-Zhaokai Xu: set up, Data Cleaning, Model Training, Visualization \n",
    "\n",
    "-Iris Peng: Research question, ethics and privacy, analysis\n",
    "\n",
    "-Anthony Martinez: Background, Introduction, analysis\n",
    "\n",
    "-Jingwen Chen: Hypothesis, conclusion, analysis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Research Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "Output target: song_popularity \n",
    "\n",
    "Q1. Do popular songs have similar attributes? If so, what are these attributes? Specifically, out of a chosen 13 attributes (song duration, tempo, key, etc.), are there similarities between them that determine a song’s popularity? \n",
    "\n",
    "Q2. Furthermore, after identifying these attributes, can we use them to predict which song will be most popular next? \t\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background and Prior Work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Music is a huge component of the history and culture of mankind.  More recently, music has evolved into a business.  Artists are constantly competing for the top spots on music charts.  Whether it is for top song or top album.  Being highly ranked in these charts is important for artists because it will lead to more endorsements, more recognition, and most importantly, more record and song sales.  Now, creating a song that makes it on the top charts doesn’t necessarily mean that it was composed by Mozart.  Most popular songs have a familiar sound.  Upbeat, fast, and loud are good indicators of what could possibly be a popular song.  Creating a popular song doesn’t necessarily mean that you will make it on the top charts, but it does give you a better chance at it.  Now, streaming is the future of music.Streaming services like Apple Music and Spotify are releasing very useful data on current music.  More specifically, Spotify releases data on the song features for each song.  There are 13 total song features that Spotify releases to the public including: tempo, time signature, loudness, danceability, and more. \n",
    "\n",
    "In other Spotify related projects such as, https://www.kaggle.com/nadintamer/top-tracks-of-2017  \n",
    "It raises interesting questions to explore the dataset such as \n",
    "Looking for patterns in the audio features of the songs. Why do people stream these songs the most?\n",
    "How can we predict one audio feature based on the others features \n",
    "Explore which features correlate the most\n",
    "https://www.kaggle.com/edumucelli/spotifys-worldwide-daily-song-ranking\n",
    "Can you predict what is the rank position or the number of streams a song will have in the future?\n",
    "What are the signs of a song that gets into the top rank to stay?\n",
    "Do continents share same top ranking artists or songs?\n",
    "Are people listening to the very same top ranking songs on countries far away from each other?\n",
    "Other projects builders mostly applied machine learning regression models and classification models to make predictions, and the most popular library they referred to is Sklearn. They realized that the data preprocessing is crucial to the success of the projects, and feeding balanced data into the model they applied greatly contributes to improve the accurate prediction.These are the things we can be careful about while working on our project.\n",
    "Since the dataset we are using contains different features compared to the other Spotify dataset, we suggest to try to take the best advantage of our unique features and raise some interesting exploration.\n",
    "References (include links):\n",
    "- 1) https://www.kaggle.com/nadintamer/top-tracks-of-2017  \n",
    "- 2) https://www.kaggle.com/edumucelli/spotifys-worldwide-daily-song-ranking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Among the 14 features we have, 'song_duration_ms', 'acousticness', 'danceability', 'energy', 'instrumentalness', 'key', 'liveness', 'loudness', 'audio_mode', 'speechiness', 'tempo', 'time_signature', 'audio_valence', u'playlist, we want to analyze what feature would contribute the most to the popularity of a song. \n",
    "\n",
    "Intuitively, we will make the hypothesis that dancebility, livenesss, tempo and energy are key factors of a song_popularity"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Dataset Name:19000 Spotify Songs \n",
    "- Link to the dataset: https://www.kaggle.com/edalrami/19000-spotify-songs\n",
    "\n",
    "- Number of observations:19000\n",
    "\n",
    "This dataset uses Spotify API and contains data of 19000 songs. It has 15 features, including ：song_name, song_popularity,song_duration_ms, acousticness, danceability, energy, instrumentalness, key, liveness, loudness, audio_mode, speechiness, tempo, time_signature, audio_valence.  It has a relatively large amount of samples which is the main reason we chose this dataset. All these audio features come from Spotify API and the data set is updated 5 months ago."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup and data pre-analyzing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.049324Z",
     "start_time": "2019-06-04T21:09:43.017997Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "#These are the packages that we \n",
    "#needed to import for the rest of our code. \n",
    "#Some of the packages that we needed \n",
    "#to use include the typical pandas,\n",
    "#numpy, and matplot packages for\n",
    "#data manipulation and visualization.\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import patsy\n",
    "import statsmodels.api as sm\n",
    "import scipy.stats as stats\n",
    "from scipy.stats import ttest_ind, chisquare, normaltest, norm\n",
    "import seaborn as sns;\n",
    "\n",
    "from sklearn.model_selection import train_test_split  \n",
    "from sklearn.utils import shuffle\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.234952Z",
     "start_time": "2019-06-04T21:09:43.055153Z"
    }
   },
   "outputs": [],
   "source": [
    "# 1.1 read data \n",
    "\n",
    "song_data_df = pd.read_csv(\"song_data.csv\")\n",
    "\n",
    "song_info_df = pd.read_csv(\"song_info.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.321729Z",
     "start_time": "2019-06-04T21:09:43.242037Z"
    }
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>song_name</th>\n",
       "      <th>song_popularity</th>\n",
       "      <th>song_duration_ms</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>audio_mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>audio_valence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Boulevard of Broken Dreams</td>\n",
       "      <td>73</td>\n",
       "      <td>262333</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0589</td>\n",
       "      <td>-4.095</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0294</td>\n",
       "      <td>167.060</td>\n",
       "      <td>4</td>\n",
       "      <td>0.474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>In The End</td>\n",
       "      <td>66</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.010300</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.853</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>-6.407</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0498</td>\n",
       "      <td>105.256</td>\n",
       "      <td>4</td>\n",
       "      <td>0.370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Seven Nation Army</td>\n",
       "      <td>76</td>\n",
       "      <td>231733</td>\n",
       "      <td>0.008170</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.447000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2550</td>\n",
       "      <td>-7.828</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0792</td>\n",
       "      <td>123.881</td>\n",
       "      <td>4</td>\n",
       "      <td>0.324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>By The Way</td>\n",
       "      <td>74</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.026400</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.003550</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>-4.938</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1070</td>\n",
       "      <td>122.444</td>\n",
       "      <td>4</td>\n",
       "      <td>0.198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>How You Remind Me</td>\n",
       "      <td>56</td>\n",
       "      <td>223826</td>\n",
       "      <td>0.000954</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>-5.065</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0313</td>\n",
       "      <td>172.011</td>\n",
       "      <td>4</td>\n",
       "      <td>0.574</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    song_name  song_popularity  song_duration_ms  \\\n",
       "0  Boulevard of Broken Dreams               73            262333   \n",
       "1                  In The End               66            216933   \n",
       "2           Seven Nation Army               76            231733   \n",
       "3                  By The Way               74            216933   \n",
       "4           How You Remind Me               56            223826   \n",
       "\n",
       "   acousticness  danceability  energy  instrumentalness  key  liveness  \\\n",
       "0      0.005520         0.496   0.682          0.000029    8    0.0589   \n",
       "1      0.010300         0.542   0.853          0.000000    3    0.1080   \n",
       "2      0.008170         0.737   0.463          0.447000    0    0.2550   \n",
       "3      0.026400         0.451   0.970          0.003550    0    0.1020   \n",
       "4      0.000954         0.447   0.766          0.000000   10    0.1130   \n",
       "\n",
       "   loudness  audio_mode  speechiness    tempo  time_signature  audio_valence  \n",
       "0    -4.095           1       0.0294  167.060               4          0.474  \n",
       "1    -6.407           0       0.0498  105.256               4          0.370  \n",
       "2    -7.828           1       0.0792  123.881               4          0.324  \n",
       "3    -4.938           1       0.1070  122.444               4          0.198  \n",
       "4    -5.065           1       0.0313  172.011               4          0.574  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1.2 preview data\n",
    "song_data_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.368741Z",
     "start_time": "2019-06-04T21:09:43.329335Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>song_name</th>\n",
       "      <th>artist_name</th>\n",
       "      <th>album_names</th>\n",
       "      <th>playlist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Boulevard of Broken Dreams</td>\n",
       "      <td>Green Day</td>\n",
       "      <td>Greatest Hits: God's Favorite Band</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>In The End</td>\n",
       "      <td>Linkin Park</td>\n",
       "      <td>Hybrid Theory</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Seven Nation Army</td>\n",
       "      <td>The White Stripes</td>\n",
       "      <td>Elephant</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>By The Way</td>\n",
       "      <td>Red Hot Chili Peppers</td>\n",
       "      <td>By The Way (Deluxe Version)</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>How You Remind Me</td>\n",
       "      <td>Nickelback</td>\n",
       "      <td>Silver Side Up</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    song_name            artist_name  \\\n",
       "0  Boulevard of Broken Dreams              Green Day   \n",
       "1                  In The End            Linkin Park   \n",
       "2           Seven Nation Army      The White Stripes   \n",
       "3                  By The Way  Red Hot Chili Peppers   \n",
       "4           How You Remind Me             Nickelback   \n",
       "\n",
       "                          album_names          playlist  \n",
       "0  Greatest Hits: God's Favorite Band  00s Rock Anthems  \n",
       "1                       Hybrid Theory  00s Rock Anthems  \n",
       "2                            Elephant  00s Rock Anthems  \n",
       "3         By The Way (Deluxe Version)  00s Rock Anthems  \n",
       "4                      Silver Side Up  00s Rock Anthems  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "song_info_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.418176Z",
     "start_time": "2019-06-04T21:09:43.377797Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "song_data_df = song_data_df.set_index('song_name')\n",
    "song_info_df = song_info_df.set_index('song_name')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The reason we set the song_name as the index is: \n",
    "1. we do not want to treat it as a feature; \n",
    "2. using it as index allow us to combine two dataframe by index. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.439228Z",
     "start_time": "2019-06-04T21:09:43.426924Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "(18835, 14)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "song_data_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.469459Z",
     "start_time": "2019-06-04T21:09:43.447018Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18835, 3)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "song_info_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.512574Z",
     "start_time": "2019-06-04T21:09:43.479272Z"
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   "outputs": [
    {
     "data": {
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       "(18835, 17)"
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     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1.3 combine the two dataset into df\n",
    "df = pd.concat([song_data_df, song_info_df], axis=1)\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:43.628044Z",
     "start_time": "2019-06-04T21:09:43.520906Z"
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   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>song_popularity</th>\n",
       "      <th>song_duration_ms</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>audio_mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>audio_valence</th>\n",
       "      <th>artist_name</th>\n",
       "      <th>album_names</th>\n",
       "      <th>playlist</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>song_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Boulevard of Broken Dreams</th>\n",
       "      <td>73</td>\n",
       "      <td>262333</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0589</td>\n",
       "      <td>-4.095</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0294</td>\n",
       "      <td>167.060</td>\n",
       "      <td>4</td>\n",
       "      <td>0.474</td>\n",
       "      <td>Green Day</td>\n",
       "      <td>Greatest Hits: God's Favorite Band</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In The End</th>\n",
       "      <td>66</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.010300</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.853</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>-6.407</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0498</td>\n",
       "      <td>105.256</td>\n",
       "      <td>4</td>\n",
       "      <td>0.370</td>\n",
       "      <td>Linkin Park</td>\n",
       "      <td>Hybrid Theory</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seven Nation Army</th>\n",
       "      <td>76</td>\n",
       "      <td>231733</td>\n",
       "      <td>0.008170</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.447000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2550</td>\n",
       "      <td>-7.828</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0792</td>\n",
       "      <td>123.881</td>\n",
       "      <td>4</td>\n",
       "      <td>0.324</td>\n",
       "      <td>The White Stripes</td>\n",
       "      <td>Elephant</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>By The Way</th>\n",
       "      <td>74</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.026400</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.003550</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>-4.938</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1070</td>\n",
       "      <td>122.444</td>\n",
       "      <td>4</td>\n",
       "      <td>0.198</td>\n",
       "      <td>Red Hot Chili Peppers</td>\n",
       "      <td>By The Way (Deluxe Version)</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>How You Remind Me</th>\n",
       "      <td>56</td>\n",
       "      <td>223826</td>\n",
       "      <td>0.000954</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>-5.065</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0313</td>\n",
       "      <td>172.011</td>\n",
       "      <td>4</td>\n",
       "      <td>0.574</td>\n",
       "      <td>Nickelback</td>\n",
       "      <td>Silver Side Up</td>\n",
       "      <td>00s Rock Anthems</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            song_popularity  song_duration_ms  acousticness  \\\n",
       "song_name                                                                     \n",
       "Boulevard of Broken Dreams               73            262333      0.005520   \n",
       "In The End                               66            216933      0.010300   \n",
       "Seven Nation Army                        76            231733      0.008170   \n",
       "By The Way                               74            216933      0.026400   \n",
       "How You Remind Me                        56            223826      0.000954   \n",
       "\n",
       "                            danceability  energy  instrumentalness  key  \\\n",
       "song_name                                                                 \n",
       "Boulevard of Broken Dreams         0.496   0.682          0.000029    8   \n",
       "In The End                         0.542   0.853          0.000000    3   \n",
       "Seven Nation Army                  0.737   0.463          0.447000    0   \n",
       "By The Way                         0.451   0.970          0.003550    0   \n",
       "How You Remind Me                  0.447   0.766          0.000000   10   \n",
       "\n",
       "                            liveness  loudness  audio_mode  speechiness  \\\n",
       "song_name                                                                 \n",
       "Boulevard of Broken Dreams    0.0589    -4.095           1       0.0294   \n",
       "In The End                    0.1080    -6.407           0       0.0498   \n",
       "Seven Nation Army             0.2550    -7.828           1       0.0792   \n",
       "By The Way                    0.1020    -4.938           1       0.1070   \n",
       "How You Remind Me             0.1130    -5.065           1       0.0313   \n",
       "\n",
       "                              tempo  time_signature  audio_valence  \\\n",
       "song_name                                                            \n",
       "Boulevard of Broken Dreams  167.060               4          0.474   \n",
       "In The End                  105.256               4          0.370   \n",
       "Seven Nation Army           123.881               4          0.324   \n",
       "By The Way                  122.444               4          0.198   \n",
       "How You Remind Me           172.011               4          0.574   \n",
       "\n",
       "                                      artist_name  \\\n",
       "song_name                                           \n",
       "Boulevard of Broken Dreams              Green Day   \n",
       "In The End                            Linkin Park   \n",
       "Seven Nation Army               The White Stripes   \n",
       "By The Way                  Red Hot Chili Peppers   \n",
       "How You Remind Me                      Nickelback   \n",
       "\n",
       "                                                   album_names  \\\n",
       "song_name                                                        \n",
       "Boulevard of Broken Dreams  Greatest Hits: God's Favorite Band   \n",
       "In The End                                       Hybrid Theory   \n",
       "Seven Nation Army                                     Elephant   \n",
       "By The Way                         By The Way (Deluxe Version)   \n",
       "How You Remind Me                               Silver Side Up   \n",
       "\n",
       "                                    playlist  \n",
       "song_name                                     \n",
       "Boulevard of Broken Dreams  00s Rock Anthems  \n",
       "In The End                  00s Rock Anthems  \n",
       "Seven Nation Army           00s Rock Anthems  \n",
       "By The Way                  00s Rock Anthems  \n",
       "How You Remind Me           00s Rock Anthems  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:49.101227Z",
     "start_time": "2019-06-04T21:09:43.637409Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1.4 print distribution alongside all features\n",
    "hist = df.hist(bins = 50,figsize = (15,20))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print distribution alongside all features). Above are histograms of all the different features of the songs, including the song popularity after the song data and information has been combined into a single dataframe. Ad"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "song_popularity = df['song_popularity'].tolist()\n",
    "# find stats of song__popularity: mean and standard deviation\n",
    "mu, sd = norm.fit(song_popularity)\n",
    "\n",
    "#draw the histogram of the target\n",
    "plt.subplots(figsize=(15,10))\n",
    "n, bins, patches = plt.hist(song_popularity, bins = 100,density = 1,alpha = 0.75)\n",
    "\n",
    "#draw the distribution function curve \n",
    "y =stats.norm.pdf( bins, mu, sd)\n",
    "curve = plt.plot(bins, y, 'r--', linewidth=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could find that most of the songs have popularity around 40-80, this matches the normal distribution. \n",
    "We have also observed that there are many songs have no popularity, so we should drop that part of songs. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 drop potential useless features: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:49.150333Z",
     "start_time": "2019-06-04T21:09:49.111269Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18563, 15)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(['album_names'], axis=1)\n",
    "df = df.drop(['artist_name'], axis=1)\n",
    "df = df[df.song_popularity != 0]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We drop these two features because they all have unique values, which cannot be treated as a meaning feature. Therefore we dropped them. \n",
    "We also drop all the song that has no popularity. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 one hot encoding the playlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:49.349866Z",
     "start_time": "2019-06-04T21:09:49.157007Z"
    }
   },
   "outputs": [],
   "source": [
    "newdf = pd.get_dummies(df,prefix=['playlist'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:52.347464Z",
     "start_time": "2019-06-04T21:09:49.363947Z"
    }
   },
   "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>song_popularity</th>\n",
       "      <th>song_duration_ms</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>audio_mode</th>\n",
       "      <th>...</th>\n",
       "      <th>playlist_Weekend Hangouts</th>\n",
       "      <th>playlist_Wild Cards_ Winter Mix</th>\n",
       "      <th>playlist_Women of Pop</th>\n",
       "      <th>playlist_Workday_ Pop</th>\n",
       "      <th>playlist_Workout Groove</th>\n",
       "      <th>playlist_Workout Twerkout</th>\n",
       "      <th>playlist_You &amp; Me</th>\n",
       "      <th>playlist_Young &amp; Free</th>\n",
       "      <th>playlist_Your Favorite Coffeehouse</th>\n",
       "      <th>playlist_mint</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>song_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Boulevard of Broken Dreams</th>\n",
       "      <td>73</td>\n",
       "      <td>262333</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.682</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>8</td>\n",
       "      <td>0.0589</td>\n",
       "      <td>-4.095</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>In The End</th>\n",
       "      <td>66</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.010300</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.853</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>-6.407</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seven Nation Army</th>\n",
       "      <td>76</td>\n",
       "      <td>231733</td>\n",
       "      <td>0.008170</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.463</td>\n",
       "      <td>0.447000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2550</td>\n",
       "      <td>-7.828</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>By The Way</th>\n",
       "      <td>74</td>\n",
       "      <td>216933</td>\n",
       "      <td>0.026400</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.970</td>\n",
       "      <td>0.003550</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>-4.938</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>How You Remind Me</th>\n",
       "      <td>56</td>\n",
       "      <td>223826</td>\n",
       "      <td>0.000954</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.766</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10</td>\n",
       "      <td>0.1130</td>\n",
       "      <td>-5.065</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 314 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            song_popularity  song_duration_ms  acousticness  \\\n",
       "song_name                                                                     \n",
       "Boulevard of Broken Dreams               73            262333      0.005520   \n",
       "In The End                               66            216933      0.010300   \n",
       "Seven Nation Army                        76            231733      0.008170   \n",
       "By The Way                               74            216933      0.026400   \n",
       "How You Remind Me                        56            223826      0.000954   \n",
       "\n",
       "                            danceability  energy  instrumentalness  key  \\\n",
       "song_name                                                                 \n",
       "Boulevard of Broken Dreams         0.496   0.682          0.000029    8   \n",
       "In The End                         0.542   0.853          0.000000    3   \n",
       "Seven Nation Army                  0.737   0.463          0.447000    0   \n",
       "By The Way                         0.451   0.970          0.003550    0   \n",
       "How You Remind Me                  0.447   0.766          0.000000   10   \n",
       "\n",
       "                            liveness  loudness  audio_mode      ...        \\\n",
       "song_name                                                       ...         \n",
       "Boulevard of Broken Dreams    0.0589    -4.095           1      ...         \n",
       "In The End                    0.1080    -6.407           0      ...         \n",
       "Seven Nation Army             0.2550    -7.828           1      ...         \n",
       "By The Way                    0.1020    -4.938           1      ...         \n",
       "How You Remind Me             0.1130    -5.065           1      ...         \n",
       "\n",
       "                            playlist_Weekend Hangouts  \\\n",
       "song_name                                               \n",
       "Boulevard of Broken Dreams                          0   \n",
       "In The End                                          0   \n",
       "Seven Nation Army                                   0   \n",
       "By The Way                                          0   \n",
       "How You Remind Me                                   0   \n",
       "\n",
       "                            playlist_Wild Cards_ Winter Mix  \\\n",
       "song_name                                                     \n",
       "Boulevard of Broken Dreams                                0   \n",
       "In The End                                                0   \n",
       "Seven Nation Army                                         0   \n",
       "By The Way                                                0   \n",
       "How You Remind Me                                         0   \n",
       "\n",
       "                            playlist_Women of Pop  playlist_Workday_ Pop  \\\n",
       "song_name                                                                  \n",
       "Boulevard of Broken Dreams                      0                      0   \n",
       "In The End                                      0                      0   \n",
       "Seven Nation Army                               0                      0   \n",
       "By The Way                                      0                      0   \n",
       "How You Remind Me                               0                      0   \n",
       "\n",
       "                            playlist_Workout Groove  \\\n",
       "song_name                                             \n",
       "Boulevard of Broken Dreams                        0   \n",
       "In The End                                        0   \n",
       "Seven Nation Army                                 0   \n",
       "By The Way                                        0   \n",
       "How You Remind Me                                 0   \n",
       "\n",
       "                            playlist_Workout Twerkout  playlist_You & Me  \\\n",
       "song_name                                                                  \n",
       "Boulevard of Broken Dreams                          0                  0   \n",
       "In The End                                          0                  0   \n",
       "Seven Nation Army                                   0                  0   \n",
       "By The Way                                          0                  0   \n",
       "How You Remind Me                                   0                  0   \n",
       "\n",
       "                            playlist_Young & Free  \\\n",
       "song_name                                           \n",
       "Boulevard of Broken Dreams                      0   \n",
       "In The End                                      0   \n",
       "Seven Nation Army                               0   \n",
       "By The Way                                      0   \n",
       "How You Remind Me                               0   \n",
       "\n",
       "                            playlist_Your Favorite Coffeehouse  playlist_mint  \n",
       "song_name                                                                      \n",
       "Boulevard of Broken Dreams                                   0              0  \n",
       "In The End                                                   0              0  \n",
       "Seven Nation Army                                            0              0  \n",
       "By The Way                                                   0              0  \n",
       "How You Remind Me                                            0              0  \n",
       "\n",
       "[5 rows x 314 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After one-hot encoding, we have 313 features, 300 of which are one-hot encoded of different playlists, since we have 300 different playlists in the dataset. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3 analyze data relevance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:52.390507Z",
     "start_time": "2019-06-04T21:09:52.359962Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "300"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df['playlist'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:09:53.485641Z",
     "start_time": "2019-06-04T21:09:52.446350Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc6102068d0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# analyze correlation \n",
    "# in range [-1,1], -1 means negtively correlated, 1 means positively correlated,0 means no relation\n",
    "\n",
    "# analyze the correlation corresponding to popularity \n",
    "\n",
    "\n",
    "sns.set(style=\"white\")\n",
    "\n",
    "# Generate a large random dataset\n",
    "# rs = np.random.RandomState(33)\n",
    "d = pd.DataFrame(data=df,columns=list(df.columns))\n",
    "\n",
    "# Compute the correlation matrix\n",
    "corr = d.corr()\n",
    "\n",
    "# Generate a mask for the upper triangle\n",
    "mask = np.zeros_like(corr, dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, ax = plt.subplots(figsize=(11, 10))\n",
    "\n",
    "# Generate a custom diverging colormap\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "# Draw the heatmap with the mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this section, we are analyzing the correlation between song features.  We are using a range of -1 to 1 to measure the correlation.  Any negative number means that there is a negative correlation and any positive number means that there is a positive correlation. The correlation of each feature will be calculated relating to popularity. In this instance, we use a heatmap to see what is more positively correlated with popularity.  We use a heat map because it allows us to easily see the features and how they are correlated with popularity. The more pink the color, the more correlated the feature is to popularity. When looking at the heatmap, we can see that loudness, danceability, and energy are most positively correlated with popularity.  Similarly, acousticness is the least correlated with popularity. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:11:30.239236Z",
     "start_time": "2019-06-04T21:09:53.512095Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2520x2520 with 196 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This class maps each variable in a dataset onto a column and row in a grid of multiple axes. \n",
    "# Different axes-level plotting functions can be used to draw bivariate plots in the upper and lower triangles, \n",
    "# and the the marginal distribution of each variable can be shown on the diagonal.\n",
    "\n",
    "g = sns.PairGrid(df)\n",
    "g = g.map(plt.scatter)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        We have observed that some features are not affected by other feature at all, for example, song_popularity has no effect on audio_mode. Vice versa, we could use this graph to rule out some factors that have no effect on song_popularity, here it is key, audio_mode and time_signature. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:11:30.559734Z",
     "start_time": "2019-06-04T21:11:30.257145Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# print the corr matrix for later filtering use\n",
    "corr = df.corr()\n",
    "corr.style.background_gradient()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we run the correlation function, to observe the correlation between two features. It returns a value from -1 to 1, representing how the two variables are related. \n",
    "\n",
    "Since the target is song_popularity, in the following step, we will drop the features that are not too relevant to song_popularity. We set the threshhold as 0.05. This means, if the correlation of a feature between song_popularity, is less than 0.05, we will drop it in the dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:11:30.872466Z",
     "start_time": "2019-06-04T21:11:30.591298Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['song_duration_ms', 'energy', 'key', 'liveness', 'audio_mode',\n",
      "       'speechiness', 'tempo', 'time_signature'],\n",
      "      dtype='object')\n"
     ]
    },
    {
     "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>song_popularity</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>audio_valence</th>\n",
       "      <th>playlist_00s Rock Anthems</th>\n",
       "      <th>playlist_100% LatinX</th>\n",
       "      <th>playlist_2000s Smash Hits</th>\n",
       "      <th>playlist_50 Latin Classics</th>\n",
       "      <th>...</th>\n",
       "      <th>playlist_Weekend Hangouts</th>\n",
       "      <th>playlist_Wild Cards_ Winter Mix</th>\n",
       "      <th>playlist_Women of Pop</th>\n",
       "      <th>playlist_Workday_ Pop</th>\n",
       "      <th>playlist_Workout Groove</th>\n",
       "      <th>playlist_Workout Twerkout</th>\n",
       "      <th>playlist_You &amp; Me</th>\n",
       "      <th>playlist_Young &amp; Free</th>\n",
       "      <th>playlist_Your Favorite Coffeehouse</th>\n",
       "      <th>playlist_mint</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>song_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Boulevard of Broken Dreams</th>\n",
       "      <td>73</td>\n",
       "      <td>0.005520</td>\n",
       "      <td>0.496</td>\n",
       "      <td>0.000029</td>\n",
       "      <td>-4.095</td>\n",
       "      <td>0.474</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>In The End</th>\n",
       "      <td>66</td>\n",
       "      <td>0.010300</td>\n",
       "      <td>0.542</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.407</td>\n",
       "      <td>0.370</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seven Nation Army</th>\n",
       "      <td>76</td>\n",
       "      <td>0.008170</td>\n",
       "      <td>0.737</td>\n",
       "      <td>0.447000</td>\n",
       "      <td>-7.828</td>\n",
       "      <td>0.324</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>By The Way</th>\n",
       "      <td>74</td>\n",
       "      <td>0.026400</td>\n",
       "      <td>0.451</td>\n",
       "      <td>0.003550</td>\n",
       "      <td>-4.938</td>\n",
       "      <td>0.198</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>How You Remind Me</th>\n",
       "      <td>56</td>\n",
       "      <td>0.000954</td>\n",
       "      <td>0.447</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-5.065</td>\n",
       "      <td>0.574</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 306 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            song_popularity  acousticness  danceability  \\\n",
       "song_name                                                                 \n",
       "Boulevard of Broken Dreams               73      0.005520         0.496   \n",
       "In The End                               66      0.010300         0.542   \n",
       "Seven Nation Army                        76      0.008170         0.737   \n",
       "By The Way                               74      0.026400         0.451   \n",
       "How You Remind Me                        56      0.000954         0.447   \n",
       "\n",
       "                            instrumentalness  loudness  audio_valence  \\\n",
       "song_name                                                               \n",
       "Boulevard of Broken Dreams          0.000029    -4.095          0.474   \n",
       "In The End                          0.000000    -6.407          0.370   \n",
       "Seven Nation Army                   0.447000    -7.828          0.324   \n",
       "By The Way                          0.003550    -4.938          0.198   \n",
       "How You Remind Me                   0.000000    -5.065          0.574   \n",
       "\n",
       "                            playlist_00s Rock Anthems  playlist_100% LatinX  \\\n",
       "song_name                                                                     \n",
       "Boulevard of Broken Dreams                          1                     0   \n",
       "In The End                                          1                     0   \n",
       "Seven Nation Army                                   1                     0   \n",
       "By The Way                                          1                     0   \n",
       "How You Remind Me                                   1                     0   \n",
       "\n",
       "                            playlist_2000s Smash Hits  \\\n",
       "song_name                                               \n",
       "Boulevard of Broken Dreams                          0   \n",
       "In The End                                          0   \n",
       "Seven Nation Army                                   0   \n",
       "By The Way                                          0   \n",
       "How You Remind Me                                   0   \n",
       "\n",
       "                            playlist_50 Latin Classics      ...        \\\n",
       "song_name                                                   ...         \n",
       "Boulevard of Broken Dreams                           0      ...         \n",
       "In The End                                           0      ...         \n",
       "Seven Nation Army                                    0      ...         \n",
       "By The Way                                           0      ...         \n",
       "How You Remind Me                                    0      ...         \n",
       "\n",
       "                            playlist_Weekend Hangouts  \\\n",
       "song_name                                               \n",
       "Boulevard of Broken Dreams                          0   \n",
       "In The End                                          0   \n",
       "Seven Nation Army                                   0   \n",
       "By The Way                                          0   \n",
       "How You Remind Me                                   0   \n",
       "\n",
       "                            playlist_Wild Cards_ Winter Mix  \\\n",
       "song_name                                                     \n",
       "Boulevard of Broken Dreams                                0   \n",
       "In The End                                                0   \n",
       "Seven Nation Army                                         0   \n",
       "By The Way                                                0   \n",
       "How You Remind Me                                         0   \n",
       "\n",
       "                            playlist_Women of Pop  playlist_Workday_ Pop  \\\n",
       "song_name                                                                  \n",
       "Boulevard of Broken Dreams                      0                      0   \n",
       "In The End                                      0                      0   \n",
       "Seven Nation Army                               0                      0   \n",
       "By The Way                                      0                      0   \n",
       "How You Remind Me                               0                      0   \n",
       "\n",
       "                            playlist_Workout Groove  \\\n",
       "song_name                                             \n",
       "Boulevard of Broken Dreams                        0   \n",
       "In The End                                        0   \n",
       "Seven Nation Army                                 0   \n",
       "By The Way                                        0   \n",
       "How You Remind Me                                 0   \n",
       "\n",
       "                            playlist_Workout Twerkout  playlist_You & Me  \\\n",
       "song_name                                                                  \n",
       "Boulevard of Broken Dreams                          0                  0   \n",
       "In The End                                          0                  0   \n",
       "Seven Nation Army                                   0                  0   \n",
       "By The Way                                          0                  0   \n",
       "How You Remind Me                                   0                  0   \n",
       "\n",
       "                            playlist_Young & Free  \\\n",
       "song_name                                           \n",
       "Boulevard of Broken Dreams                      0   \n",
       "In The End                                      0   \n",
       "Seven Nation Army                               0   \n",
       "By The Way                                      0   \n",
       "How You Remind Me                               0   \n",
       "\n",
       "                            playlist_Your Favorite Coffeehouse  playlist_mint  \n",
       "song_name                                                                      \n",
       "Boulevard of Broken Dreams                                   0              0  \n",
       "In The End                                                   0              0  \n",
       "Seven Nation Army                                            0              0  \n",
       "By The Way                                                   0              0  \n",
       "How You Remind Me                                            0              0  \n",
       "\n",
       "[5 rows x 306 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop the features whose correlation is less than 0.05\n",
    "\n",
    "dropIndex = corr[abs(corr['song_popularity'])<0.05].index\n",
    "print(dropIndex)\n",
    "\n",
    "for name in dropIndex:\n",
    "    df = df.drop([name], axis=1)\n",
    "    newdf = newdf.drop([name], axis=1)\n",
    "\n",
    "newdf.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-04T21:11:30.898904Z",
     "start_time": "2019-06-04T21:11:30.879973Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18563, 306)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newdf.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Data Wraggling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# separate the training and testing\n",
    "X = df.drop(['song_popularity','playlist'], axis=1)\n",
    "X = shuffle(X)\n",
    "Y = df['song_popularity']\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.2, random_state=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train: (14850, 5) y_train (14850,)\n",
      "X_test: (3713, 5) y_test (3713,)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train:\",X_train.shape, \"y_train\",y_train.shape)\n",
    "print(\"X_test:\",X_test.shape, \"y_test\",y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>instrumentalness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>audio_valence</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>song_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Stars</th>\n",
       "      <td>0.916</td>\n",
       "      <td>0.381</td>\n",
       "      <td>0.00142</td>\n",
       "      <td>-18.361</td>\n",
       "      <td>0.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Trip</th>\n",
       "      <td>0.214</td>\n",
       "      <td>0.717</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-5.680</td>\n",
       "      <td>0.387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mambo No. 5 (A Little Bit of...)</th>\n",
       "      <td>0.107</td>\n",
       "      <td>0.607</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-6.849</td>\n",
       "      <td>0.901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malo</th>\n",
       "      <td>0.431</td>\n",
       "      <td>0.429</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-3.716</td>\n",
       "      <td>0.468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>How Will I Know</th>\n",
       "      <td>0.943</td>\n",
       "      <td>0.506</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>-12.346</td>\n",
       "      <td>0.301</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  acousticness  danceability  \\\n",
       "song_name                                                      \n",
       "Stars                                    0.916         0.381   \n",
       "Trip                                     0.214         0.717   \n",
       "Mambo No. 5 (A Little Bit of...)         0.107         0.607   \n",
       "Malo                                     0.431         0.429   \n",
       "How Will I Know                          0.943         0.506   \n",
       "\n",
       "                                  instrumentalness  loudness  audio_valence  \n",
       "song_name                                                                    \n",
       "Stars                                      0.00142   -18.361          0.116  \n",
       "Trip                                       0.00000    -5.680          0.387  \n",
       "Mambo No. 5 (A Little Bit of...)           0.00000    -6.849          0.901  \n",
       "Malo                                       0.00000    -3.716          0.468  \n",
       "How Will I Know                            0.00000   -12.346          0.301  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "song_name\n",
       "Boulevard of Broken Dreams    73\n",
       "In The End                    66\n",
       "Seven Nation Army             76\n",
       "By The Way                    74\n",
       "How You Remind Me             56\n",
       "Name: song_popularity, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Train the model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1 train a parametric model \n",
    "\n",
    "#### Benefits of Parametric Machine Learning Algorithms:\n",
    "\n",
    "Simpler: These methods are easier to understand and interpret results.\n",
    "Speed: Parametric models are very fast to learn from data.\n",
    "Less Data: They do not require as much training data and can work well even if the fit to the data is not perfect.\n",
    "Limitations of Parametric Machine Learning Algorithms:\n",
    "\n",
    "##### Constrained: By choosing a functional form these methods are highly constrained to the specified form.\n",
    "Limited Complexity: The methods are more suited to simpler problems.\n",
    "Poor Fit: In practice the methods are unlikely to match the underlying mapping function.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multi-Variable Linear Regression\n",
    "\n",
    "statsmodels.regression.linear_model.OLS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-05T21:38:15.126593Z",
     "start_time": "2019-06-05T21:38:15.084368Z"
    }
   },
   "outputs": [],
   "source": [
    "# set song_popularity to be predicted value y\n",
    "# set (acousticness\t danceability\tinstrumentalness\tloudness\taudio_valence\tplaylist) to be X\n",
    "\n",
    "# Note the difference in argument order\n",
    "model = sm.OLS(np.asarray(y_train), np.asarray(X_train)).fit()\n",
    "y_pred = model.predict(np.asarray(X_test)) # make the predictions by the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.836</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.836</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>1.510e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Tue, 11 Jun 2019</td> <th>  Prob (F-statistic):</th>  <td>  0.00</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>18:08:05</td>     <th>  Log-Likelihood:    </th> <td> -67905.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td> 14850</td>      <th>  AIC:               </th> <td>1.358e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td> 14845</td>      <th>  BIC:               </th> <td>1.359e+05</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     5</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "   <td></td>     <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th> <td>    2.9243</td> <td>    0.807</td> <td>    3.626</td> <td> 0.000</td> <td>    1.343</td> <td>    4.505</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th> <td>   53.0726</td> <td>    0.873</td> <td>   60.822</td> <td> 0.000</td> <td>   51.362</td> <td>   54.783</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x3</th> <td>   -0.5717</td> <td>    0.958</td> <td>   -0.597</td> <td> 0.551</td> <td>   -2.450</td> <td>    1.307</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x4</th> <td>   -1.4304</td> <td>    0.059</td> <td>  -24.258</td> <td> 0.000</td> <td>   -1.546</td> <td>   -1.315</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x5</th> <td>   12.9436</td> <td>    0.822</td> <td>   15.754</td> <td> 0.000</td> <td>   11.333</td> <td>   14.554</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>209.160</td> <th>  Durbin-Watson:     </th> <td>   1.984</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 217.512</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.294</td>  <th>  Prob(JB):          </th> <td>5.86e-48</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.930</td>  <th>  Cond. No.          </th> <td>    49.5</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.836\n",
       "Model:                            OLS   Adj. R-squared:                  0.836\n",
       "Method:                 Least Squares   F-statistic:                 1.510e+04\n",
       "Date:                Tue, 11 Jun 2019   Prob (F-statistic):               0.00\n",
       "Time:                        18:08:05   Log-Likelihood:                -67905.\n",
       "No. Observations:               14850   AIC:                         1.358e+05\n",
       "Df Residuals:                   14845   BIC:                         1.359e+05\n",
       "Df Model:                           5                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "x1             2.9243      0.807      3.626      0.000       1.343       4.505\n",
       "x2            53.0726      0.873     60.822      0.000      51.362      54.783\n",
       "x3            -0.5717      0.958     -0.597      0.551      -2.450       1.307\n",
       "x4            -1.4304      0.059    -24.258      0.000      -1.546      -1.315\n",
       "x5            12.9436      0.822     15.754      0.000      11.333      14.554\n",
       "==============================================================================\n",
       "Omnibus:                      209.160   Durbin-Watson:                   1.984\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              217.512\n",
       "Skew:                          -0.294   Prob(JB):                     5.86e-48\n",
       "Kurtosis:                       2.930   Cond. No.                         49.5\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "\"\"\""
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the model training summary, we could obeserve that the 95% confidence interval for the 5 parameters trained. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-05T21:38:16.222702Z",
     "start_time": "2019-06-05T21:38:16.211720Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tvalues [  3.62567816  60.8221414   -0.59652797 -24.25816397  15.75411583]\n",
      "The model is: \n",
      " song_popularity =  2.92429180428 *acousticness \n",
      " 53.0726101337 *danceability -0.57166234799 *instrumentalness \n",
      " -1.43042645297 *loudness 12.9435509189 *audio_valence\n"
     ]
    }
   ],
   "source": [
    "#print('params', model.params)\n",
    "print('tvalues',model.tvalues)\n",
    "\n",
    "print(\"The model is:\",\"\\n song_popularity = \", model.params[0],\"*acousticness\",\"\\n\",\n",
    "     model.params[1],\"*danceability\",model.params[2],\"*instrumentalness\",\"\\n\",\n",
    "      model.params[3],\"*loudness\",model.params[4],\"*audio_valence\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-05T21:40:44.685907Z",
     "start_time": "2019-06-05T21:40:44.644920Z"
    }
   },
   "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",
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       "    }\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>actual_song_popularity</th>\n",
       "      <th>predict_song_popularity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>song_name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Out My Way/ Around You (feat. Marr Grey, RELLA, July 7 &amp; Devin Tracy)</th>\n",
       "      <td>44</td>\n",
       "      <td>56.022159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>You Can Cry</th>\n",
       "      <td>72</td>\n",
       "      <td>40.938954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>My Number</th>\n",
       "      <td>72</td>\n",
       "      <td>53.992895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Once I Loved</th>\n",
       "      <td>59</td>\n",
       "      <td>63.931513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Have Love Will Travel</th>\n",
       "      <td>55</td>\n",
       "      <td>56.847152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Macarena</th>\n",
       "      <td>62</td>\n",
       "      <td>61.772959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IDGAF</th>\n",
       "      <td>89</td>\n",
       "      <td>61.841387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Worst Comes To Worst - Edited</th>\n",
       "      <td>53</td>\n",
       "      <td>58.209548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>When I Come Around</th>\n",
       "      <td>74</td>\n",
       "      <td>30.282736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Evening Buffalo</th>\n",
       "      <td>58</td>\n",
       "      <td>50.525015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tokyo glo remix</th>\n",
       "      <td>46</td>\n",
       "      <td>50.007174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bands on Me (feat. Blac Youngsta, A Boogie Wit Da Hoodie &amp; Teejay3k)</th>\n",
       "      <td>61</td>\n",
       "      <td>76.171227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cómo Los Vaqueros</th>\n",
       "      <td>55</td>\n",
       "      <td>64.357782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Big Fish</th>\n",
       "      <td>69</td>\n",
       "      <td>52.685824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Missin You Crazy</th>\n",
       "      <td>81</td>\n",
       "      <td>53.281327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mo Bamba</th>\n",
       "      <td>90</td>\n",
       "      <td>46.399834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No One Knows</th>\n",
       "      <td>13</td>\n",
       "      <td>48.366566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Maps</th>\n",
       "      <td>60</td>\n",
       "      <td>72.518100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mi Muñeca Me Habló</th>\n",
       "      <td>36</td>\n",
       "      <td>67.749204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>City Looks Pretty</th>\n",
       "      <td>32</td>\n",
       "      <td>48.976743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Wanting</th>\n",
       "      <td>9</td>\n",
       "      <td>43.818353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latinos</th>\n",
       "      <td>16</td>\n",
       "      <td>44.542137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alas de Papel</th>\n",
       "      <td>35</td>\n",
       "      <td>60.180162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>What a Difference You've Made in My Life</th>\n",
       "      <td>34</td>\n",
       "      <td>59.277773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Locomia</th>\n",
       "      <td>48</td>\n",
       "      <td>53.683596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Time I've Wasted</th>\n",
       "      <td>63</td>\n",
       "      <td>58.512793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stone</th>\n",
       "      <td>65</td>\n",
       "      <td>51.318981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Favela</th>\n",
       "      <td>82</td>\n",
       "      <td>60.073168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Walk on the Wild Side</th>\n",
       "      <td>18</td>\n",
       "      <td>43.793611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fighter</th>\n",
       "      <td>69</td>\n",
       "      <td>48.486455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visions</th>\n",
       "      <td>58</td>\n",
       "      <td>54.147669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Itchycoo Park</th>\n",
       "      <td>49</td>\n",
       "      <td>49.600982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roly-Poly</th>\n",
       "      <td>28</td>\n",
       "      <td>56.695414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inocente Pobre Amiga</th>\n",
       "      <td>44</td>\n",
       "      <td>57.253850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Un gaou à Oran - Bonus track</th>\n",
       "      <td>48</td>\n",
       "      <td>58.059429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shout, Pts. 1 &amp; 2</th>\n",
       "      <td>61</td>\n",
       "      <td>72.518100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AND WHAT</th>\n",
       "      <td>57</td>\n",
       "      <td>73.959718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Atento Al Lobo</th>\n",
       "      <td>41</td>\n",
       "      <td>41.462794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>totoba</th>\n",
       "      <td>46</td>\n",
       "      <td>35.954284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Stylist</th>\n",
       "      <td>91</td>\n",
       "      <td>61.150398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cry, Cry, Cry - Long Version</th>\n",
       "      <td>30</td>\n",
       "      <td>59.698137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lonely Days</th>\n",
       "      <td>50</td>\n",
       "      <td>72.093567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>On The Run (feat. Offset)</th>\n",
       "      <td>76</td>\n",
       "      <td>51.109135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Drop It Like It's Hot</th>\n",
       "      <td>36</td>\n",
       "      <td>60.624099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4:21 (Con María)</th>\n",
       "      <td>18</td>\n",
       "      <td>44.166527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zooted (feat. French Montana &amp; Farruko)</th>\n",
       "      <td>74</td>\n",
       "      <td>54.450512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Mother We Share</th>\n",
       "      <td>58</td>\n",
       "      <td>59.135718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Killshot</th>\n",
       "      <td>91</td>\n",
       "      <td>49.603586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jolene</th>\n",
       "      <td>67</td>\n",
       "      <td>51.949799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>My Hero</th>\n",
       "      <td>69</td>\n",
       "      <td>49.613565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Es Por Tí</th>\n",
       "      <td>72</td>\n",
       "      <td>34.464812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Youngblood</th>\n",
       "      <td>90</td>\n",
       "      <td>69.345300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cosmic Cave</th>\n",
       "      <td>48</td>\n",
       "      <td>54.889212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>No Brainer</th>\n",
       "      <td>94</td>\n",
       "      <td>62.390252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Falling Down</th>\n",
       "      <td>97</td>\n",
       "      <td>65.877878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young Lovers</th>\n",
       "      <td>32</td>\n",
       "      <td>28.530405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Two Weeks</th>\n",
       "      <td>58</td>\n",
       "      <td>55.194387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Young Dumb &amp; Broke</th>\n",
       "      <td>87</td>\n",
       "      <td>53.484642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shots</th>\n",
       "      <td>36</td>\n",
       "      <td>53.128853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blur</th>\n",
       "      <td>51</td>\n",
       "      <td>59.885188</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3713 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    actual_song_popularity  \\\n",
       "song_name                                                                    \n",
       "Out My Way/ Around You (feat. Marr Grey, RELLA,...                      44   \n",
       "You Can Cry                                                             72   \n",
       "My Number                                                               72   \n",
       "Once I Loved                                                            59   \n",
       "Have Love Will Travel                                                   55   \n",
       "Macarena                                                                62   \n",
       "IDGAF                                                                   89   \n",
       "Worst Comes To Worst - Edited                                           53   \n",
       "When I Come Around                                                      74   \n",
       "Evening Buffalo                                                         58   \n",
       "tokyo glo remix                                                         46   \n",
       "Bands on Me (feat. Blac Youngsta, A Boogie Wit ...                      61   \n",
       "Cómo Los Vaqueros                                                       55   \n",
       "Big Fish                                                                69   \n",
       "Missin You Crazy                                                        81   \n",
       "Mo Bamba                                                                90   \n",
       "No One Knows                                                            13   \n",
       "Maps                                                                    60   \n",
       "Mi Muñeca Me Habló                                                      36   \n",
       "City Looks Pretty                                                       32   \n",
       "The Wanting                                                              9   \n",
       "Latinos                                                                 16   \n",
       "Alas de Papel                                                           35   \n",
       "What a Difference You've Made in My Life                                34   \n",
       "Locomia                                                                 48   \n",
       "The Time I've Wasted                                                    63   \n",
       "Stone                                                                   65   \n",
       "Favela                                                                  82   \n",
       "Walk on the Wild Side                                                   18   \n",
       "Fighter                                                                 69   \n",
       "...                                                                    ...   \n",
       "Visions                                                                 58   \n",
       "Itchycoo Park                                                           49   \n",
       "Roly-Poly                                                               28   \n",
       "Inocente Pobre Amiga                                                    44   \n",
       "Un gaou à Oran - Bonus track                                            48   \n",
       "Shout, Pts. 1 & 2                                                       61   \n",
       "AND WHAT                                                                57   \n",
       "Atento Al Lobo                                                          41   \n",
       "totoba                                                                  46   \n",
       "No Stylist                                                              91   \n",
       "Cry, Cry, Cry - Long Version                                            30   \n",
       "Lonely Days                                                             50   \n",
       "On The Run (feat. Offset)                                               76   \n",
       "Drop It Like It's Hot                                                   36   \n",
       "4:21 (Con María)                                                        18   \n",
       "Zooted (feat. French Montana & Farruko)                                 74   \n",
       "The Mother We Share                                                     58   \n",
       "Killshot                                                                91   \n",
       "Jolene                                                                  67   \n",
       "My Hero                                                                 69   \n",
       "Es Por Tí                                                               72   \n",
       "Youngblood                                                              90   \n",
       "Cosmic Cave                                                             48   \n",
       "No Brainer                                                              94   \n",
       "Falling Down                                                            97   \n",
       "Young Lovers                                                            32   \n",
       "Two Weeks                                                               58   \n",
       "Young Dumb & Broke                                                      87   \n",
       "Shots                                                                   36   \n",
       "Blur                                                                    51   \n",
       "\n",
       "                                                    predict_song_popularity  \n",
       "song_name                                                                    \n",
       "Out My Way/ Around You (feat. Marr Grey, RELLA,...                56.022159  \n",
       "You Can Cry                                                       40.938954  \n",
       "My Number                                                         53.992895  \n",
       "Once I Loved                                                      63.931513  \n",
       "Have Love Will Travel                                             56.847152  \n",
       "Macarena                                                          61.772959  \n",
       "IDGAF                                                             61.841387  \n",
       "Worst Comes To Worst - Edited                                     58.209548  \n",
       "When I Come Around                                                30.282736  \n",
       "Evening Buffalo                                                   50.525015  \n",
       "tokyo glo remix                                                   50.007174  \n",
       "Bands on Me (feat. Blac Youngsta, A Boogie Wit ...                76.171227  \n",
       "Cómo Los Vaqueros                                                 64.357782  \n",
       "Big Fish                                                          52.685824  \n",
       "Missin You Crazy                                                  53.281327  \n",
       "Mo Bamba                                                          46.399834  \n",
       "No One Knows                                                      48.366566  \n",
       "Maps                                                              72.518100  \n",
       "Mi Muñeca Me Habló                                                67.749204  \n",
       "City Looks Pretty                                                 48.976743  \n",
       "The Wanting                                                       43.818353  \n",
       "Latinos                                                           44.542137  \n",
       "Alas de Papel                                                     60.180162  \n",
       "What a Difference You've Made in My Life                          59.277773  \n",
       "Locomia                                                           53.683596  \n",
       "The Time I've Wasted                                              58.512793  \n",
       "Stone                                                             51.318981  \n",
       "Favela                                                            60.073168  \n",
       "Walk on the Wild Side                                             43.793611  \n",
       "Fighter                                                           48.486455  \n",
       "...                                                                     ...  \n",
       "Visions                                                           54.147669  \n",
       "Itchycoo Park                                                     49.600982  \n",
       "Roly-Poly                                                         56.695414  \n",
       "Inocente Pobre Amiga                                              57.253850  \n",
       "Un gaou à Oran - Bonus track                                      58.059429  \n",
       "Shout, Pts. 1 & 2                                                 72.518100  \n",
       "AND WHAT                                                          73.959718  \n",
       "Atento Al Lobo                                                    41.462794  \n",
       "totoba                                                            35.954284  \n",
       "No Stylist                                                        61.150398  \n",
       "Cry, Cry, Cry - Long Version                                      59.698137  \n",
       "Lonely Days                                                       72.093567  \n",
       "On The Run (feat. Offset)                                         51.109135  \n",
       "Drop It Like It's Hot                                             60.624099  \n",
       "4:21 (Con María)                                                  44.166527  \n",
       "Zooted (feat. French Montana & Farruko)                           54.450512  \n",
       "The Mother We Share                                               59.135718  \n",
       "Killshot                                                          49.603586  \n",
       "Jolene                                                            51.949799  \n",
       "My Hero                                                           49.613565  \n",
       "Es Por Tí                                                         34.464812  \n",
       "Youngblood                                                        69.345300  \n",
       "Cosmic Cave                                                       54.889212  \n",
       "No Brainer                                                        62.390252  \n",
       "Falling Down                                                      65.877878  \n",
       "Young Lovers                                                      28.530405  \n",
       "Two Weeks                                                         55.194387  \n",
       "Young Dumb & Broke                                                53.484642  \n",
       "Shots                                                             53.128853  \n",
       "Blur                                                              59.885188  \n",
       "\n",
       "[3713 rows x 2 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#visualize the result \n",
    "df_reg = pd.DataFrame( y_test.values, columns = ['actual_song_popularity'], index=y_test.index)\n",
    "df_reg['predict_song_popularity'] = y_pred\n",
    "df_reg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-05T21:41:20.114594Z",
     "start_time": "2019-06-05T21:41:18.183532Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# to view the distribution difference\n",
    "ax = df_reg.plot.hist(bins=12, alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-05T21:43:43.583802Z",
     "start_time": "2019-06-05T21:43:43.573468Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc5d34a06a0>]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#loss\n",
    "loss_ratio = (df_reg.predict_song_popularity - df_reg.actual_song_popularity)/df_reg.actual_song_popularity\n",
    "index = range(len(loss))\n",
    "plt.plot(index,loss)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis & Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature Analysis: \n",
    "\n",
    "1. Distribution:\n",
    "We print distribution alongside all features. We print the histograms of all the different features of the songs, including the song popularity after the song data and information has been combined into a single dataframe. Additionally, we have a histogram of the song popularity compared to the normal curve to get an initial idea of what the data looks like before any data cleaning and manipulation. Histograms are appropriate here because we are able to compare large quantities of songs against certain dimensions that we care about.\n",
    "\n",
    "2. Relevance: \n",
    "For this section, we are analyzing the correlation between song features.  We are using a range of -1 to 1 to measure the correlation.  Any negative number means that there is a negative correlation and any positive number means that there is a positive correlation. The correlation of each feature will be calculated relating to popularity. In this instance, we use a heatmap to see what is more positively correlated with popularity.  We use a heat map because it allows us to easily see the features and how they are correlated with popularity. The more pink the color, the more correlated the feature is to popularity. When looking at the heatmap, we can see that loudness, danceability, and energy are most positively correlated with popularity.  Similarly, acousticness is the least correlated with popularity. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  Data Cleaning\n",
    "\n",
    "For data cleaning, we started by filtering to only the song features that we care about. This essentially meant dropping the ‘album_names’ and ‘artist_name’. Then, we assigned one-hot encoding to the features, encoding 300 of them in order to help us with the prediction part later. \n",
    "\n",
    "We also use the result from the previous observation of statistics, to rule out several factors. After observed the pair-grid map, we decided to rule out time_signature and audio_mode and key. \n",
    " \n",
    " Most significantly, we print the relevance, and rule out every factors that is has less that 0.05 with our target song_popularity. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Result\n",
    "\n",
    "We measure the loss as : pred-actual / actual, as a ratio. According to the loss of OLS linear model, we observe that this model is not as accurate as we thought. \n",
    "\n",
    "Some of the predict_song_popularity were much more greater than the actual, and some of the predict_song_popularity were huge less than the actual, which mean the result model is polarizing while compare the actual song’s popularity."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ethics & Privacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We took our data from kaggle.com, which is a public database made specifically for data science work. We’ve only used and analyzed retrieved from the site, so permissions of use and privacy concerns have already been filtered by the site prior to use.\n",
    "\n",
    "Because we took our data from the site, there are limitations to our analysis that stem from this. For instance, we can only analyze and use the song features that were listed in the song. However, by carefully choosing features that best characterize songs, we can still derive a close approximation. Another bias we should be mindful of in our analysis is that certain songs may be more similar to another because they are of the same genre. In this case, finding more salient features of the song such as tempo to be similar would be redundant. We can mitigate this issue, however, by also analyzing other features of the song that are not homogeneous across those of the same genre.\n",
    "\n",
    "Additionally, although the usage of data may not have been an issue, we should still be considerate of the potential issues with distribution of the conclusions drawn from the data. For instance, that this information won’t result in an abusive inclusion of the features in hopes of gaining more popularity in a song. Although we, personally, may not use it for unethical marketing purposes, we should still try to ensure that such a thing may not happen.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion & Discussion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Q1. Do popular songs have similar attributes?\n",
    "Yes, they do have similar attributes. \n",
    "After dropping attributes that have low relevance with song_popularity, we got the rest factors: \n",
    "\n",
    "Q2. If popular songs do have similar attributes, can we predict what song will be the next “hit”?\n",
    "We have obtained a model based on the datasets. However the test accuracy was not really high. \n",
    "\n",
    "Even through our model did not have the higher accuracy to shows verify our hypothesis, but by the work we have done, we are still believe that the popular songs have the similar attributes. Because after clean the data with dropping the low relevance attribution with song_popularity, we have attribution has the high relevance with the song_popularity: acousticness, danceability, instrumentalness, loudness, audio_valence.  \n",
    "From the data we found, we make the prediction about the song’s popularity and also compare with the one in the data, which shows our prediction did not same as the popularity in the data, even not closing to it. From the graph shows the difference between the song’s popularity we predict and actual one, we can see the dipolar result in the predict and actual one. The way we work on should be the correct one but some detail we should not overlook make this failure. \n",
    "\n",
    "\n",
    "\n",
    "Future work\n",
    "Since the model did not work as we except, which makes us to think is what are the attribution really affect the song popularity, are the every high relevance attribution affect the song popularity in the same weight? Is possible that some of high relevance attribution affect the song popularity more than other? And think deeper, does the attribution affect the song’s popularity change as time change? There are many and many different possibility  about attribution affect the songs popularity. We have much more to work on and to found the what exactly affect the song’s popularity."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reference: \n",
    "http://queirozf.com/entries/one-hot-encoding-a-feature-on-a-pandas-dataframe-an-example\n",
    "\n",
    "https://towardsdatascience.com/simple-and-multiple-linear-regression-in-python-c928425168f9\n",
    "\n",
    "https://machinelearningmastery.com/parametric-and-nonparametric-machine-learning-algorithms/\n",
    "\n"
   ]
  }
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    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}