main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9c2fbc97",
   "metadata": {},
   "source": [
    "# Predicting Song Performance on Music Platforms "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd830943",
   "metadata": {},
   "source": [
    "__Introduction__\n",
    "- This project aims to segment certain types of music consumers into different music platforms. \n",
    "- It will do this by analyzing the question of whether a song will proportionally do better on Spotify or Youtube based on the traits associated with the song. Traits include both objective and subjective statistics such as duration of the song vs danceability of the song. \n",
    "\n",
    "__Approaches Used__\n",
    "- Processing and Cleaning the Dataset\n",
    "- Creating Data Visualizations \n",
    "- Building and Applying Machine Laerning Models \n",
    "- Analysis of Results\n",
    "\n",
    "__Sources__\n",
    "- Dataset: https://www.kaggle.com/datasets/salvatorerastelli/spotify-and-youtube\n",
    "- Dataset consists of songs from various artists in the world and for each song the following is present:\n",
    "    - Several statistics of the music version on Spotify, including the number of streams;\n",
    "    - Several statistics of the official music video on  Youtube, including the number of views;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 520,
   "id": "223b66a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing Packages\n",
    "\n",
    "import pandas as pd \n",
    "import numpy as np \n",
    "import matplotlib.pyplot as plt \n",
    "import seaborn as sns\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.metrics import accuracy_score\n",
    "from warnings import simplefilter\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.metrics import confusion_matrix\n",
    "simplefilter(action='ignore')\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy.cluster.hierarchy import dendrogram, linkage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 521,
   "id": "b941c745",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading in Database  \n",
    "\n",
    "df = pd.read_csv(\"Spotify_Youtube.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7467df37",
   "metadata": {},
   "source": [
    "## Dataset Information"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7342ca95",
   "metadata": {},
   "source": [
    "There are 26 columns/variables for each of the songs in the dataset. These columns are described and listed below."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41ff074f",
   "metadata": {},
   "source": [
    "- Track: name of the song, as visible on the Spotify platform.\n",
    "- Artist: name of the artist.\n",
    "- Url_spotify: the Url of the artist.\n",
    "- Album: the album in wich the song is contained on Spotify.\n",
    "- Album_type: indicates if the song is relesead on Spotify as a single or contained in an album.\n",
    "- Uri: a spotify link used to find the song through the API.\n",
    "- Danceability: describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.\n",
    "- Energy: is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.\n",
    "- Key: the key the track is in. Integers map to pitches using standard Pitch Class notation. E.g. 0 = C, 1 = C♯/D♭, 2 = D, and so on. If no key was detected, the value is -1.\n",
    "- Loudness: the overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typically range between -60 and 0 db.\n",
    "- Speechiness: detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. Values above 0.66 describe tracks that are probably made entirely of spoken words. Values between 0.33 and 0.66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 0.33 most likely represent music and other non-speech-like tracks.\n",
    "- Acousticness: a confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.\n",
    "- Instrumentalness: predicts whether a track contains no vocals. \"Ooh\" and \"aah\" sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly \"vocal\". The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.\n",
    "- Liveness: detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live.\n",
    "- Valence: a measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).\n",
    "- Tempo: the overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.\n",
    "- Duration_ms: the duration of the track in milliseconds.\n",
    "- Stream: number of streams of the song on Spotify.\n",
    "- Url_youtube: url of the video linked to the song on Youtube, if it have any.\n",
    "- Title: title of the videoclip on youtube.\n",
    "- Channel: name of the channel that have published the video.\n",
    "- Views: number of views.\n",
    "- Likes: number of likes.\n",
    "- Comments: number of comments.\n",
    "- Description: description of the video on Youtube.\n",
    "- Licensed: Indicates whether the video represents licensed content, which means that the content was uploaded to a channel linked to a YouTube content partner and then claimed by that partner.\n",
    "- official_video: boolean value that indicates if the video found is the official video of the song."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d7881c6",
   "metadata": {},
   "source": [
    "Here is a sample of what the data points in the dataset look like, the first five rows. Each row represents a song, and each column is a variable statistic about that song. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 522,
   "id": "27662587",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Artist</th>\n",
       "      <th>Url_spotify</th>\n",
       "      <th>Track</th>\n",
       "      <th>Album</th>\n",
       "      <th>Album_type</th>\n",
       "      <th>Uri</th>\n",
       "      <th>Danceability</th>\n",
       "      <th>Energy</th>\n",
       "      <th>Key</th>\n",
       "      <th>...</th>\n",
       "      <th>Url_youtube</th>\n",
       "      <th>Title</th>\n",
       "      <th>Channel</th>\n",
       "      <th>Views</th>\n",
       "      <th>Likes</th>\n",
       "      <th>Comments</th>\n",
       "      <th>Description</th>\n",
       "      <th>Licensed</th>\n",
       "      <th>official_video</th>\n",
       "      <th>Stream</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
       "      <td>Feel Good Inc.</td>\n",
       "      <td>Demon Days</td>\n",
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       "      <td>0.705</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>https://www.youtube.com/watch?v=HyHNuVaZJ-k</td>\n",
       "      <td>Gorillaz - Feel Good Inc. (Official Video)</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>693555221.0</td>\n",
       "      <td>6220896.0</td>\n",
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       "      <td>Official HD Video for Gorillaz' fantastic trac...</td>\n",
       "      <td>True</td>\n",
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       "      <td>1.040235e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
       "      <td>Rhinestone Eyes</td>\n",
       "      <td>Plastic Beach</td>\n",
       "      <td>album</td>\n",
       "      <td>spotify:track:1foMv2HQwfQ2vntFf9HFeG</td>\n",
       "      <td>0.676</td>\n",
       "      <td>0.703</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>https://www.youtube.com/watch?v=yYDmaexVHic</td>\n",
       "      <td>Gorillaz - Rhinestone Eyes [Storyboard Film] (...</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>72011645.0</td>\n",
       "      <td>1079128.0</td>\n",
       "      <td>31003.0</td>\n",
       "      <td>The official video for Gorillaz - Rhinestone E...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>3.100837e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
       "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
       "      <td>New Gold (feat. Tame Impala and Bootie Brown)</td>\n",
       "      <td>single</td>\n",
       "      <td>spotify:track:64dLd6rVqDLtkXFYrEUHIU</td>\n",
       "      <td>0.695</td>\n",
       "      <td>0.923</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>https://www.youtube.com/watch?v=qJa-VFwPpYA</td>\n",
       "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>8435055.0</td>\n",
       "      <td>282142.0</td>\n",
       "      <td>7399.0</td>\n",
       "      <td>Gorillaz - New Gold ft. Tame Impala &amp; Bootie B...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>6.306347e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
       "      <td>On Melancholy Hill</td>\n",
       "      <td>Plastic Beach</td>\n",
       "      <td>album</td>\n",
       "      <td>spotify:track:0q6LuUqGLUiCPP1cbdwFs3</td>\n",
       "      <td>0.689</td>\n",
       "      <td>0.739</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>https://www.youtube.com/watch?v=04mfKJWDSzI</td>\n",
       "      <td>Gorillaz - On Melancholy Hill (Official Video)</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>211754952.0</td>\n",
       "      <td>1788577.0</td>\n",
       "      <td>55229.0</td>\n",
       "      <td>Follow Gorillaz online:\\nhttp://gorillaz.com \\...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>4.346636e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>https://open.spotify.com/artist/3AA28KZvwAUcZu...</td>\n",
       "      <td>Clint Eastwood</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>album</td>\n",
       "      <td>spotify:track:7yMiX7n9SBvadzox8T5jzT</td>\n",
       "      <td>0.663</td>\n",
       "      <td>0.694</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>https://www.youtube.com/watch?v=1V_xRb0x9aw</td>\n",
       "      <td>Gorillaz - Clint Eastwood (Official Video)</td>\n",
       "      <td>Gorillaz</td>\n",
       "      <td>618480958.0</td>\n",
       "      <td>6197318.0</td>\n",
       "      <td>155930.0</td>\n",
       "      <td>The official music video for Gorillaz - Clint ...</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>6.172597e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0    Artist                                        Url_spotify  \\\n",
       "0           0  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
       "1           1  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
       "2           2  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
       "3           3  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
       "4           4  Gorillaz  https://open.spotify.com/artist/3AA28KZvwAUcZu...   \n",
       "\n",
       "                                           Track  \\\n",
       "0                                 Feel Good Inc.   \n",
       "1                                Rhinestone Eyes   \n",
       "2  New Gold (feat. Tame Impala and Bootie Brown)   \n",
       "3                             On Melancholy Hill   \n",
       "4                                 Clint Eastwood   \n",
       "\n",
       "                                           Album Album_type  \\\n",
       "0                                     Demon Days      album   \n",
       "1                                  Plastic Beach      album   \n",
       "2  New Gold (feat. Tame Impala and Bootie Brown)     single   \n",
       "3                                  Plastic Beach      album   \n",
       "4                                       Gorillaz      album   \n",
       "\n",
       "                                    Uri  Danceability  Energy   Key  ...  \\\n",
       "0  spotify:track:0d28khcov6AiegSCpG5TuT         0.818   0.705   6.0  ...   \n",
       "1  spotify:track:1foMv2HQwfQ2vntFf9HFeG         0.676   0.703   8.0  ...   \n",
       "2  spotify:track:64dLd6rVqDLtkXFYrEUHIU         0.695   0.923   1.0  ...   \n",
       "3  spotify:track:0q6LuUqGLUiCPP1cbdwFs3         0.689   0.739   2.0  ...   \n",
       "4  spotify:track:7yMiX7n9SBvadzox8T5jzT         0.663   0.694  10.0  ...   \n",
       "\n",
       "                                   Url_youtube  \\\n",
       "0  https://www.youtube.com/watch?v=HyHNuVaZJ-k   \n",
       "1  https://www.youtube.com/watch?v=yYDmaexVHic   \n",
       "2  https://www.youtube.com/watch?v=qJa-VFwPpYA   \n",
       "3  https://www.youtube.com/watch?v=04mfKJWDSzI   \n",
       "4  https://www.youtube.com/watch?v=1V_xRb0x9aw   \n",
       "\n",
       "                                               Title   Channel        Views  \\\n",
       "0         Gorillaz - Feel Good Inc. (Official Video)  Gorillaz  693555221.0   \n",
       "1  Gorillaz - Rhinestone Eyes [Storyboard Film] (...  Gorillaz   72011645.0   \n",
       "2  Gorillaz - New Gold ft. Tame Impala & Bootie B...  Gorillaz    8435055.0   \n",
       "3     Gorillaz - On Melancholy Hill (Official Video)  Gorillaz  211754952.0   \n",
       "4         Gorillaz - Clint Eastwood (Official Video)  Gorillaz  618480958.0   \n",
       "\n",
       "       Likes  Comments                                        Description  \\\n",
       "0  6220896.0  169907.0  Official HD Video for Gorillaz' fantastic trac...   \n",
       "1  1079128.0   31003.0  The official video for Gorillaz - Rhinestone E...   \n",
       "2   282142.0    7399.0  Gorillaz - New Gold ft. Tame Impala & Bootie B...   \n",
       "3  1788577.0   55229.0  Follow Gorillaz online:\\nhttp://gorillaz.com \\...   \n",
       "4  6197318.0  155930.0  The official music video for Gorillaz - Clint ...   \n",
       "\n",
       "   Licensed official_video        Stream  \n",
       "0      True           True  1.040235e+09  \n",
       "1      True           True  3.100837e+08  \n",
       "2      True           True  6.306347e+07  \n",
       "3      True           True  4.346636e+08  \n",
       "4      True           True  6.172597e+08  \n",
       "\n",
       "[5 rows x 28 columns]"
      ]
     },
     "execution_count": 522,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1e4a3e2",
   "metadata": {},
   "source": [
    "We can use summary statistic functions to get an overall overview of how  the data is formatted. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 523,
   "id": "7079e720",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20718 entries, 0 to 20717\n",
      "Data columns (total 28 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Unnamed: 0        20718 non-null  int64  \n",
      " 1   Artist            20718 non-null  object \n",
      " 2   Url_spotify       20718 non-null  object \n",
      " 3   Track             20718 non-null  object \n",
      " 4   Album             20718 non-null  object \n",
      " 5   Album_type        20718 non-null  object \n",
      " 6   Uri               20718 non-null  object \n",
      " 7   Danceability      20716 non-null  float64\n",
      " 8   Energy            20716 non-null  float64\n",
      " 9   Key               20716 non-null  float64\n",
      " 10  Loudness          20716 non-null  float64\n",
      " 11  Speechiness       20716 non-null  float64\n",
      " 12  Acousticness      20716 non-null  float64\n",
      " 13  Instrumentalness  20716 non-null  float64\n",
      " 14  Liveness          20716 non-null  float64\n",
      " 15  Valence           20716 non-null  float64\n",
      " 16  Tempo             20716 non-null  float64\n",
      " 17  Duration_ms       20716 non-null  float64\n",
      " 18  Url_youtube       20248 non-null  object \n",
      " 19  Title             20248 non-null  object \n",
      " 20  Channel           20248 non-null  object \n",
      " 21  Views             20248 non-null  float64\n",
      " 22  Likes             20177 non-null  float64\n",
      " 23  Comments          20149 non-null  float64\n",
      " 24  Description       19842 non-null  object \n",
      " 25  Licensed          20248 non-null  object \n",
      " 26  official_video    20248 non-null  object \n",
      " 27  Stream            20142 non-null  float64\n",
      "dtypes: float64(15), int64(1), object(12)\n",
      "memory usage: 4.4+ MB\n"
     ]
    },
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       "      <th>Danceability</th>\n",
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       "      <th>Key</th>\n",
       "      <th>Loudness</th>\n",
       "      <th>Speechiness</th>\n",
       "      <th>Acousticness</th>\n",
       "      <th>Instrumentalness</th>\n",
       "      <th>Liveness</th>\n",
       "      <th>Valence</th>\n",
       "      <th>Tempo</th>\n",
       "      <th>Duration_ms</th>\n",
       "      <th>Views</th>\n",
       "      <th>Likes</th>\n",
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       "      <th>count</th>\n",
       "      <td>20718.000000</td>\n",
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       "      <td>20716.000000</td>\n",
       "      <td>2.071600e+04</td>\n",
       "      <td>2.024800e+04</td>\n",
       "      <td>2.017700e+04</td>\n",
       "      <td>2.014900e+04</td>\n",
       "      <td>2.014200e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>10358.500000</td>\n",
       "      <td>0.619777</td>\n",
       "      <td>0.635250</td>\n",
       "      <td>5.300348</td>\n",
       "      <td>-7.671680</td>\n",
       "      <td>0.096456</td>\n",
       "      <td>0.291535</td>\n",
       "      <td>0.055962</td>\n",
       "      <td>0.193521</td>\n",
       "      <td>0.529853</td>\n",
       "      <td>120.638340</td>\n",
       "      <td>2.247176e+05</td>\n",
       "      <td>9.393782e+07</td>\n",
       "      <td>6.633411e+05</td>\n",
       "      <td>2.751899e+04</td>\n",
       "      <td>1.359422e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5980.915774</td>\n",
       "      <td>0.165272</td>\n",
       "      <td>0.214147</td>\n",
       "      <td>3.576449</td>\n",
       "      <td>4.632749</td>\n",
       "      <td>0.111960</td>\n",
       "      <td>0.286299</td>\n",
       "      <td>0.193262</td>\n",
       "      <td>0.168531</td>\n",
       "      <td>0.245441</td>\n",
       "      <td>29.579018</td>\n",
       "      <td>1.247905e+05</td>\n",
       "      <td>2.746443e+08</td>\n",
       "      <td>1.789324e+06</td>\n",
       "      <td>1.932347e+05</td>\n",
       "      <td>2.441321e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-46.251000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.098500e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.574000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5179.250000</td>\n",
       "      <td>0.518000</td>\n",
       "      <td>0.507000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>-8.858000</td>\n",
       "      <td>0.035700</td>\n",
       "      <td>0.045200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.094100</td>\n",
       "      <td>0.339000</td>\n",
       "      <td>97.002000</td>\n",
       "      <td>1.800095e+05</td>\n",
       "      <td>1.826002e+06</td>\n",
       "      <td>2.158100e+04</td>\n",
       "      <td>5.090000e+02</td>\n",
       "      <td>1.767486e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10358.500000</td>\n",
       "      <td>0.637000</td>\n",
       "      <td>0.666000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>-6.536000</td>\n",
       "      <td>0.050500</td>\n",
       "      <td>0.193000</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.537000</td>\n",
       "      <td>119.965000</td>\n",
       "      <td>2.132845e+05</td>\n",
       "      <td>1.450110e+07</td>\n",
       "      <td>1.244810e+05</td>\n",
       "      <td>3.277000e+03</td>\n",
       "      <td>4.968298e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>15537.750000</td>\n",
       "      <td>0.740250</td>\n",
       "      <td>0.798000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>-4.931000</td>\n",
       "      <td>0.103000</td>\n",
       "      <td>0.477250</td>\n",
       "      <td>0.000463</td>\n",
       "      <td>0.237000</td>\n",
       "      <td>0.726250</td>\n",
       "      <td>139.935000</td>\n",
       "      <td>2.524430e+05</td>\n",
       "      <td>7.039975e+07</td>\n",
       "      <td>5.221480e+05</td>\n",
       "      <td>1.436000e+04</td>\n",
       "      <td>1.383581e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>20717.000000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.920000</td>\n",
       "      <td>0.964000</td>\n",
       "      <td>0.996000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.993000</td>\n",
       "      <td>243.372000</td>\n",
       "      <td>4.676058e+06</td>\n",
       "      <td>8.079649e+09</td>\n",
       "      <td>5.078865e+07</td>\n",
       "      <td>1.608314e+07</td>\n",
       "      <td>3.386520e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0  Danceability        Energy           Key      Loudness  \\\n",
       "count  20718.000000  20716.000000  20716.000000  20716.000000  20716.000000   \n",
       "mean   10358.500000      0.619777      0.635250      5.300348     -7.671680   \n",
       "std     5980.915774      0.165272      0.214147      3.576449      4.632749   \n",
       "min        0.000000      0.000000      0.000020      0.000000    -46.251000   \n",
       "25%     5179.250000      0.518000      0.507000      2.000000     -8.858000   \n",
       "50%    10358.500000      0.637000      0.666000      5.000000     -6.536000   \n",
       "75%    15537.750000      0.740250      0.798000      8.000000     -4.931000   \n",
       "max    20717.000000      0.975000      1.000000     11.000000      0.920000   \n",
       "\n",
       "        Speechiness  Acousticness  Instrumentalness      Liveness  \\\n",
       "count  20716.000000  20716.000000      20716.000000  20716.000000   \n",
       "mean       0.096456      0.291535          0.055962      0.193521   \n",
       "std        0.111960      0.286299          0.193262      0.168531   \n",
       "min        0.000000      0.000001          0.000000      0.014500   \n",
       "25%        0.035700      0.045200          0.000000      0.094100   \n",
       "50%        0.050500      0.193000          0.000002      0.125000   \n",
       "75%        0.103000      0.477250          0.000463      0.237000   \n",
       "max        0.964000      0.996000          1.000000      1.000000   \n",
       "\n",
       "            Valence         Tempo   Duration_ms         Views         Likes  \\\n",
       "count  20716.000000  20716.000000  2.071600e+04  2.024800e+04  2.017700e+04   \n",
       "mean       0.529853    120.638340  2.247176e+05  9.393782e+07  6.633411e+05   \n",
       "std        0.245441     29.579018  1.247905e+05  2.746443e+08  1.789324e+06   \n",
       "min        0.000000      0.000000  3.098500e+04  0.000000e+00  0.000000e+00   \n",
       "25%        0.339000     97.002000  1.800095e+05  1.826002e+06  2.158100e+04   \n",
       "50%        0.537000    119.965000  2.132845e+05  1.450110e+07  1.244810e+05   \n",
       "75%        0.726250    139.935000  2.524430e+05  7.039975e+07  5.221480e+05   \n",
       "max        0.993000    243.372000  4.676058e+06  8.079649e+09  5.078865e+07   \n",
       "\n",
       "           Comments        Stream  \n",
       "count  2.014900e+04  2.014200e+04  \n",
       "mean   2.751899e+04  1.359422e+08  \n",
       "std    1.932347e+05  2.441321e+08  \n",
       "min    0.000000e+00  6.574000e+03  \n",
       "25%    5.090000e+02  1.767486e+07  \n",
       "50%    3.277000e+03  4.968298e+07  \n",
       "75%    1.436000e+04  1.383581e+08  \n",
       "max    1.608314e+07  3.386520e+09  "
      ]
     },
     "execution_count": 523,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.info()\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3feda5d",
   "metadata": {},
   "source": [
    "From these functions we can see we can see that the dataset has both numerical data in the form of the datatype \"float64\", and non-numerical data containing text in the form of the datatype \"object\". \n",
    "\n",
    "The range of values within the dataset is also varied, varying between negative values and positives values up to the 9th power."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee62dc08",
   "metadata": {},
   "source": [
    "# Data Processing and Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3b55a168",
   "metadata": {},
   "source": [
    "The dataset consists of many columns which are not significant or relevant to the queston at hand and can be removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 524,
   "id": "3ccf21fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Storing new dataset with non-significant columns dropped \n",
    "df_rel = df.drop(['Url_spotify', 'Uri', 'Album', 'Url_youtube', 'Description', 'Title', \n",
    "                  'Channel','Unnamed: 0'], axis=1)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2be9dd33",
   "metadata": {},
   "source": [
    "Dealing with missing data:\n",
    "- Remove NaN values by removing all of the samples \n",
    "- Reasoning: The dataset is filled with enough valid samples (that to do not have any missing data) for this method to be utilized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 525,
   "id": "214f2409",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stream              576\n",
      "Comments            569\n",
      "Likes               541\n",
      "official_video      470\n",
      "Licensed            470\n",
      "Views               470\n",
      "Valence               2\n",
      "Duration_ms           2\n",
      "Tempo                 2\n",
      "Liveness              2\n",
      "Instrumentalness      2\n",
      "Acousticness          2\n",
      "Speechiness           2\n",
      "Loudness              2\n",
      "Key                   2\n",
      "Energy                2\n",
      "Danceability          2\n",
      "Track                 0\n",
      "Album_type            0\n",
      "Artist                0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df_rel.isnull().sum().sort_values(ascending=False))\n",
    "\n",
    "# If any of the rows in df_relevant are empty, delete that row \n",
    "df_rel = df_rel.dropna()\n",
    "# Resetting the indexes \n",
    "df_rel = df_rel.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5657ca69",
   "metadata": {},
   "source": [
    "Encoding the data from cateogrical data to numerical data to be used by visualizations and models \n",
    "- Changing Album_type, which is either album or single, into binary data that classifies whether it is an album or not\n",
    "- Setting True and False Variables into their numerical equivalents (1's and 0's) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 526,
   "id": "4bd09a2f",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(len(df_rel)):\n",
    "    isAlbum = df_rel['Album_type'][i] == 'album'\n",
    "    df_rel['Album_type'][i] = int(isAlbum)    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 527,
   "id": "777cd0b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_rel['Licensed'] = df_rel['Licensed'].astype(int)\n",
    "df_rel['official_video'] = df_rel['official_video'].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ff5fdb4",
   "metadata": {},
   "source": [
    "The dataset doesnt't have a definitive target variable that would allow us to compare platform performance. However we can use data engineering to create a binary target variable, representing if a song did better on Youtube (represented by value 1) or Spotify (represetned by value 0). \n",
    "\n",
    "Each songs views and streams are divided by their respective platform average, this standardizes each songs performance based on the populairty of the platform.\n",
    "\n",
    "These two scores are compared to create a new variable, called platform perofrmance which is the binary target variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "id": "5fb405e7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Number of Views across all songs in dataset:  95456263.74060054\n",
      "Average Number of Streams across all songs in dataset:  137110145.14113253\n"
     ]
    }
   ],
   "source": [
    "# Averages of View (Youtube) and Stream (Spotify) columns in dataset \n",
    "yt_views_avg = df_rel[\"Views\"].mean()\n",
    "spotify_streams_avg = df_rel[\"Stream\"].mean()\n",
    "print(\"Average Number of Views across all songs in dataset: \", yt_views_avg)\n",
    "print(\"Average Number of Streams across all songs in dataset: \", spotify_streams_avg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "id": "d92098f5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage of the dataset that has a higher Youtube view score than Spotify stream score: 30.625607447951303\n"
     ]
    }
   ],
   "source": [
    "# New score columns made based on songs performance compared to average on platform \n",
    "df_rel['View Score'] = df_rel['Views'] / yt_views_avg\n",
    "df_rel['Stream Score'] = df_rel['Stream'] / spotify_streams_avg\n",
    "# List Consiting of each data point where the view score is higher than the stream score \n",
    "size_list = df_rel.loc[df_rel['View Score']> df_rel['Stream Score']]\n",
    "print(\"Percentage of the dataset that has a higher Youtube view score than Spotify stream score:\", ((len(size_list) / len(df_rel)) * 100)) \n",
    "df_rel['Platform Performance'] = -1\n",
    "# Creating new Platform Performance column through iteration, (1 - Youtube Score better) (0 - Spotify Score Better)\n",
    "for i in range(len(df_rel)):\n",
    "    df_rel['Platform Performance'][i] = 1 if df_rel['View Score'][i] > df_rel['Stream Score'][i] else 0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "821849b7",
   "metadata": {},
   "source": [
    "# Visualizations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64a9a01c",
   "metadata": {},
   "source": [
    "To get a relative sense of how the views variable, stream variable, and our newly created target variable map to the dataset, lets examine their comparisins using pie graphs.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "id": "03237d83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Create 2 Pie graphs using matplotlib \n",
    "One graph comparing Youtube view count with Spotify stream Count - Another comparing view score with stream score \n",
    "\"\"\"\n",
    "\n",
    "# Adjusts Size, Makes figure with 1 row and 2 columns for subplot \n",
    "fig, (ax1,ax2) = plt.subplots(1,2, figsize=(12,10))\n",
    "\n",
    "yt_higher = df_rel['Views'] > df_rel['Stream']\n",
    "spotify_higher = df_rel['Stream'] > df_rel['Views']\n",
    "ax1.pie(x=[yt_higher.sum(), spotify_higher.sum()], autopct='%1.1f%%')\n",
    "ax1.legend(['Youtube View Count Higher', 'Spotify Stream Count Higher'])\n",
    "ax1.set_title('Comparison of View Metric on Youtube and Stream Metric on Spotify')\n",
    "\n",
    "\n",
    "youtube_condition = df_rel['Platform Performance'] == 1\n",
    "spotify_condition = df_rel['Platform Performance'] == 0\n",
    "ax2.pie(x=[youtube_condition.sum(), spotify_condition.sum()], autopct='%1.1f%%')\n",
    "ax2.legend(['Relative Youtube Performance is Better', 'Relative Spotify Performance is Better'])\n",
    "ax2.set_title('Comparison of Relative Platform Performance in Dataset')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49096a44",
   "metadata": {},
   "source": [
    "It is observed that creating a target variable was useful as Spotify streams are generally higher than youtube views for songs (77.7% vs 22.3%), most likely because the platform is more popular for music. The second pie chart comparing platform performance shows how this differential was slighly changed in favor of youtube (69.4% vs 30.6%)\n",
    "\n",
    "<br>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e9d9c9f",
   "metadata": {},
   "source": [
    "Now we examine the collinearity of the datasets features with the target variable, aswell as the collinearity of any two features in the dataset. The following heatmap correlation represents the correlation coefficients between each pair of variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "id": "8193289f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Artist, Track, and Album_type variables dropped as they are not relevant to correlation heatmap  \n",
    "corr = df_rel.drop(['Artist','Track','Album_type'], axis=1).corr()\n",
    "sns.set(rc = {'figure.figsize':(20,15)})\n",
    "# Heatmap created using seaborn, visuals adjusted for readability \n",
    "sns.heatmap(corr, annot=True, cmap='Oranges',linecolor='black',linewidths=0.1)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32d05c75",
   "metadata": {},
   "source": [
    "It is observed from the heatmap that these variables have the highest correlation to the Platform Performance target variable: \n",
    "- Danceability, Loudness, Acousticness, Instrumentalness, Valence, and Duration_ms \n",
    "\n",
    "Some of the features also a high colinearity, suggesting the fact that only one of the two features need to be used:\n",
    "- Example: Loudness and Energy \n",
    " \n",
    "<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "id": "1b2e776f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Views', 'Likes', 'View Score', 'Platform Performance'], dtype='object')"
      ]
     },
     "execution_count": 532,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Creating a list of all the variables in the correaltion matrix that have an absolute value correlation > 0.25\n",
    "to platform performance\n",
    "\"\"\" \n",
    "corr_feature = corr.index[abs(corr['Platform Performance']) >= 0.25]\n",
    "corr_feature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "242b0273",
   "metadata": {},
   "source": [
    "The fact that none of the musical traits have above a 0.25 correlation to platform performance shows us there are no explicit/obvious correaltions between a songs traits and its performance on the different music platforms\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab136ea6",
   "metadata": {},
   "source": [
    "The artists with most amount of views on Youtube and the amount streams on Spotify have a high probability of representing the general trends of consumers that flock towards those platforms. Lets analyze these trends with bar graphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "id": "2ee9227f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "Each line of code first groups the dataset by the artist column. Then for each artist group songs, \n",
    "the mean is calculated for the views/streams columns and one of the songs traits columns (resulting in average\n",
    "views and traits for each artist). The dataframe is then sorted in descending order based on the views/stream \n",
    "column, meaning the artists with the highest total views/streams are listed first. \n",
    "\n",
    "In summary, these liens of code find the top 5 artists in the datasets with the most views on Youtbe and most \n",
    "Streams on spotify across their songs, along with their average scores for a certain song trait.\n",
    "\"\"\"\n",
    "dance_view = df_rel.groupby(['Artist'])[['Views','Danceability']].mean().reset_index().sort_values(by='Views',ascending=False).head(5)\n",
    "dance_stream = df_rel.groupby(['Artist'])[['Stream','Danceability']].mean().reset_index().sort_values(by='Stream',ascending=False).head(5)\n",
    "\n",
    "loud_view = df_rel.groupby(['Artist'])[['Views','Loudness']].mean().reset_index().sort_values(by='Views',ascending=False).head(5)\n",
    "loud_stream = df_rel.groupby(['Artist'])[['Stream','Loudness']].mean().reset_index().sort_values(by='Stream',ascending=False).head(5)\n",
    "\n",
    "acoust_view = df_rel.groupby(['Artist'])[['Views','Acousticness']].mean().reset_index().sort_values(by='Views',ascending=False).head(5)\n",
    "acoust_stream = df_rel.groupby(['Artist'])[['Stream','Acousticness']].mean().reset_index().sort_values(by='Stream',ascending=False).head(5)\n",
    "\n",
    "inst_view = df_rel.groupby(['Artist'])[['Views','Instrumentalness']].mean().reset_index().sort_values(by='Views',ascending=False).head(5)\n",
    "inst_stream = df_rel.groupby(['Artist'])[['Stream','Instrumentalness']].mean().reset_index().sort_values(by='Stream',ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "id": "2c91036a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1800x1500 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating plots to represent the average trait values for the most viewed and streamed artists\n",
    "\n",
    "# A figure is made with 4 rows and 2 columns\n",
    "fig, axs = plt.subplots(4,2, figsize=(18,15))\n",
    "\n",
    "#Plotting all the data from previous cell using seaborn \n",
    "sns.barplot(data=dance_view,y='Artist',x='Danceability',orient='h',palette='Blues', ax = axs[0,0])\n",
    "sns.barplot(data=dance_stream,y='Artist',x='Danceability',orient='h',palette='Blues', ax = axs[0,1])\n",
    "sns.barplot(data=loud_view,y='Artist',x='Loudness',orient='h',palette='Blues', ax = axs[1,0])\n",
    "sns.barplot(data=loud_stream,y='Artist',x='Loudness',orient='h',palette='Blues', ax = axs[1,1])\n",
    "sns.barplot(data=acoust_view,y='Artist',x='Acousticness',orient='h',palette='Blues', ax = axs[2,0])\n",
    "sns.barplot(data=acoust_stream,y='Artist',x='Acousticness',orient='h',palette='Blues', ax = axs[2,1])\n",
    "sns.barplot(data=inst_view,y='Artist',x='Instrumentalness',orient='h',palette='Blues', ax = axs[3,0])\n",
    "sns.barplot(data=inst_stream,y='Artist',x='Instrumentalness',orient='h',palette='Blues', ax = axs[3,1])\n",
    "\n",
    "\n",
    "axs[0][0].set_title('Youtube', fontsize = 35)\n",
    "axs[0][1].set_title('Spotify', fontsize = 35)\n",
    "\n",
    "# Function to adjust layout nicely\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3432fb10",
   "metadata": {},
   "source": [
    "From these summary statistics of the most popular artists we can observe that some variables such as Danceability \n",
    "and Loudness have realtively low variance while other vairables such as Acousticness and Instrumentalness have higher Variance."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3b9a7ba",
   "metadata": {},
   "source": [
    "# Machine Learning Models"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3799bbee",
   "metadata": {},
   "source": [
    "To start using machine learning models to make predictions and answer our question, we must first split the data into the training sets used to learn the relationships and testing sets to validate the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "id": "e5537ca2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Features and Target variables segmented from the dataset \n",
    "features = df_rel[['Danceability','Loudness','Acousticness','Instrumentalness','Valence','Duration_ms']]\n",
    "target = df_rel['Platform Performance']\n",
    "\n",
    "# Train-Test Split of the data, with 20% of the data used for tesitng\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(features, target, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8aa093c",
   "metadata": {},
   "source": [
    "Logistic Regression Model used to fit a linear realtionship between the variables and produce an outocme based on binary classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 536,
   "id": "46b89f27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Accuracy 0.6945456870643903\n",
      "Test Accuracy:  0.6859335038363171\n"
     ]
    }
   ],
   "source": [
    "# Creating and fitting a logistic regression model\n",
    "logreg = LogisticRegression()\n",
    "logreg.fit(X_train,Y_train)\n",
    "\n",
    "# Making productions from our train-test split \n",
    "log_pred_train = logreg.predict(X_train)\n",
    "log_pred_test = logreg.predict(X_test)\n",
    "\n",
    "print(\"Train Accuracy\", accuracy_score(Y_train, log_pred_train))\n",
    "print(\"Test Accuracy: \", accuracy_score(Y_test, log_pred_test))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97a4f180",
   "metadata": {},
   "source": [
    "The Logisitc Regression model's accuracy is decent, being around 70%, but there is definetely room for improvement.\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7707e006",
   "metadata": {},
   "source": [
    "Let's try scaling the dataset to center the data around 0 and  see if that can improve the accuracy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 537,
   "id": "ea6525ed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test Accuracy:  0.689002557544757\n"
     ]
    }
   ],
   "source": [
    "#Using Standard Scalar to scale the data and save the resultign dataframe in an ew vairbale\n",
    "scaler = StandardScaler().fit(features)\n",
    "standard_scaled_data = scaler.transform(features)\n",
    "standard_scaled_data = pd.DataFrame(standard_scaled_data,columns=['Danceability','Loudness','Acousticness','Instrumentalness','Valence','Duration_ms'])\n",
    "\n",
    "# New Train-Test Split on Scaled Data\n",
    "X_train_s,X_test_s,Y_train_s,Y_test_s = train_test_split(standard_scaled_data,target,test_size=0.2,random_state=42)\n",
    "\n",
    "logreg.fit(X_train_s,Y_train_s)\n",
    "pred_test_s = logreg.predict(X_test_s)\n",
    "\n",
    "print(\"Test Accuracy: \", accuracy_score(Y_test, pred_test_s))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7179e42",
   "metadata": {},
   "source": [
    "The test accuracy very slighly improved by scaling the data, but a signficant difference was not made. \n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "406654ff",
   "metadata": {},
   "source": [
    "K-Nearest Neighbor classifier model used to cluster datapoints based on distance similarity and then predict unknown data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "id": "b13c4810",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best k hyperparamter: 2\n",
      "Best accuracy found:  0.6854219948849105\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\"\"\"\n",
    "Finding the best k hyper parameter by iterating through different valeus of k and keeping track of model that\n",
    "produceds the highest accuracy\n",
    "\n",
    "\"\"\"\n",
    "best_k = 1\n",
    "best_k_accuracy = 0 \n",
    "for k in range (1,20): \n",
    "    # Creating, fitting a k-nn model\n",
    "    knn_model = KNeighborsClassifier(k)\n",
    "    knn_model.fit(X_train,Y_train) \n",
    "    # Testing the accuracy of the models predictions \n",
    "    k_pred_test = knn_model.predict(X_test)\n",
    "    acc_test = accuracy_score(Y_test, k_pred_test)\n",
    "    # Compating current accuracy to best accuracy\n",
    "    if acc_test > best_k_accuracy:\n",
    "        best_k = k\n",
    "        best_k_accuracy = acc_test\n",
    "    \n",
    "print(\"Best k hyperparamter:\", best_k)\n",
    "print(\"Best accuracy found: \", best_k_accuracy)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2709ab15",
   "metadata": {},
   "source": [
    "The accuracy of the k-nn model is very similar to the the logistic regression model\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ffa1d16d",
   "metadata": {},
   "source": [
    "Decision Tree Classifier Model used to predict the target by learning deicison rules from features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 539,
   "id": "d381f96b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best depth hyperparamater: 8\n",
      "Best accuracy found: 0.6869565217391305\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Finding the best depth hyper parameter by iterating through different valeus of max_depth and keeping track of \n",
    "tree that produceds the highest accuracy\n",
    "\n",
    "\"\"\"\n",
    "best_depth = 1      \n",
    "best_tree_accuracy = 0   \n",
    "for d in range(1, 20):\n",
    "    # Creating, fitting a decision tree model\n",
    "    tree_model = DecisionTreeClassifier(max_depth=d)\n",
    "    tree_model.fit(X_train,Y_train)\n",
    "    # Testing the accuracy of the models predictions \n",
    "    tree_pred_test = tree_model.predict(X_test)\n",
    "    acc_test = accuracy_score(Y_test, tree_pred_test)\n",
    "    # Compating current accuracy to best accuracy\n",
    "    if acc_test > best_tree_accuracy:\n",
    "        best_depth = d\n",
    "        best_tree_accuracy = acc_test\n",
    "\n",
    "print(\"Best depth hyperparamater:\", best_depth)\n",
    "print(\"Best accuracy found:\", best_accuracy)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5a4f7f2",
   "metadata": {},
   "source": [
    "The accuracy of the decision tree model is also very similar to the logistic regression model and the k-nn model. Overall this expresses that the model does not have much impact on the accuracy of classifying platofrm performance.  \n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b53bbabe",
   "metadata": {},
   "source": [
    "Let's try using all the musical trait features to see if that has any influence on the accuracy of our models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 540,
   "id": "d844c2cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logistic Regression Accuracy: 0.689002557544757\n",
      "K-NN Classifier Accuracy: 0.681074168797954\n",
      "Tree Decision Classifier Accuracy: 0.6974424552429668\n"
     ]
    }
   ],
   "source": [
    "# Creating new features list with more features\n",
    "more_features = df_rel[['Danceability', 'Energy', 'Key', 'Loudness', 'Speechiness', 'Acousticness', 'Instrumentalness',\n",
    "       'Liveness', 'Valence', 'Tempo', 'Duration_ms']]\n",
    "\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(more_features, target, test_size=0.2, random_state=42)\n",
    "\n",
    "\n",
    "# Retesting the three models \n",
    "logreg = LogisticRegression()\n",
    "logreg.fit(X_train,Y_train)\n",
    "log_pred_train = logreg.predict(X_train)\n",
    "log_pred_test = logreg.predict(X_test)\n",
    "acc_test = accuracy_score(Y_test, pred_test_s)\n",
    "print(\"Logistic Regression Accuracy:\", acc_test)\n",
    "\n",
    "knn_model = KNeighborsClassifier(best_k)\n",
    "knn_model.fit(X_train,Y_train) \n",
    "k_pred_test = knn_model.predict(X_test)\n",
    "acc_test = accuracy_score(Y_test, k_pred_test)\n",
    "print(\"K-NN Classifier Accuracy:\", acc_test)\n",
    "\n",
    "tree_model = DecisionTreeClassifier(max_depth=best_depth)\n",
    "tree_model.fit(X_train,Y_train)\n",
    "tree_pred_test = tree_model.predict(X_test)\n",
    "acc_test = accuracy_score(Y_test, tree_pred_test)\n",
    "print(\"Tree Decision Classifier Accuracy:\",acc_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c94a368e",
   "metadata": {},
   "source": [
    "Adding these new features did not change the accuracy of the models much with logistic regression and decision tree models becoming slighly more accurate, and the k-nn model becoming slighly more innacurate.\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c362e50",
   "metadata": {},
   "source": [
    "Let's look into a confusion matrix to see if we can understand more about the limiting performance being produced from our models. Since the Decision Tree classifier has produced the best accuracy so far, the next cells will use this model. K-fold Cross validation will now be a resmapling technique used to more broadly assess the performance of the models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "id": "eb6f9180",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.6926183028059695\n",
      "Accuracy for positive samples 0.25826130791965946\n",
      "Accuracy for negative samples 0.8879385107241241\n"
     ]
    }
   ],
   "source": [
    "accuracies, positive_predictive_values, negative_predictive_values = [],[],[]\n",
    "\"\"\"\n",
    "Creating 10 equally sized paritions of training data and using K-fold Cross vlaidation \n",
    "to get the validaiton error\n",
    "\"\"\" \n",
    "n_folds = 10\n",
    "kf = KFold(n_folds)\n",
    "for train_index, test_index in kf.split(features):\n",
    "    X_train, X_test = features.iloc[train_index], features.iloc[test_index]\n",
    "    Y_train, Y_test = target[train_index], target[test_index]\n",
    "    tree_model = DecisionTreeClassifier(max_depth=best_depth)\n",
    "    tree_model.fit(X_train, Y_train)\n",
    "    tree_pred = tree_model.predict(X_test)\n",
    "    \n",
    "    #true negative, false positive, false negative, true positive derived from confusion matrix function\n",
    "    tn, fp, fn, tp = confusion_matrix(Y_test, tree_pred, labels=[False,True]).ravel()\n",
    "    \n",
    "    accuracies.append((tn + tp) / len(Y_test))\n",
    "    # Sensitivity: Tells us how many positives are correctly identified as positives\n",
    "    if tp + fn > 0:\n",
    "        positive_predictive_values.append(tp / (tp + fn))\n",
    "    # Specificity: Tells us how many negatives are correctly identified as negatives\n",
    "    if tn + fp > 0:\n",
    "        negative_predictive_values.append(tn / (tn + fp))\n",
    "    \n",
    "#Getting the mean of all these values to assess the summary of our accuracies\n",
    "tree_accuracy = np.mean(accuracies)\n",
    "tree_positive_predictive_value = np.mean(positive_predictive_values)\n",
    "tree_negative_predictive_value = np.mean(negative_predictive_values)\n",
    "\n",
    "print(\"Accuracy:\", cv_accuracy)\n",
    "print(\"Accuracy for positive samples\",  tree_positive_predictive_value)\n",
    "print(\"Accuracy for negative samples\", tree_negative_predictive_value)\n",
    "\n",
    "# Clearly Model is not predicting the positive samples very well, but increasing the number of features makes \n",
    "# the positive sample rate a little bit better \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3bc9bb",
   "metadata": {},
   "source": [
    "The confusion matrix highlights that the accuracy for predicting positive samples is the major problem with the models. This is to be somewhat expected as there are more negative samples (where Spotify has better relative performance) than positive samples (where Youtube has better relative performance) in the dataset.\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73a7c48d",
   "metadata": {},
   "source": [
    "Let's try using this same technique but adding more features to see if this has any effect on the confusion matrix "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 542,
   "id": "c213d75b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.6926183028059695\n",
      "Accuracy for positive samples 0.28313773873205983\n",
      "Accuracy for negative samples 0.8736060364839272\n"
     ]
    }
   ],
   "source": [
    "# Code is the same as the previous cell but using more features instead\n",
    "\n",
    "accuracies, positive_predictive_values, negative_predictive_values = [],[],[]\n",
    "n_folds = 10\n",
    "kf = KFold(n_folds)\n",
    "for train_index, test_index in kf.split(more_features):\n",
    "    X_train, X_test = more_features.iloc[train_index], more_features.iloc[test_index]\n",
    "    Y_train, Y_test = target[train_index], target[test_index]\n",
    "    tree_model = DecisionTreeClassifier(max_depth=best_depth)\n",
    "    tree_model.fit(X_train, Y_train)\n",
    "    tree_pred = tree_model.predict(X_test)\n",
    "    \n",
    "    #true negative, false positive, false negative, true positive (Model Prediction, False or True is if that was acutally right)\n",
    "    tn, fp, fn, tp = confusion_matrix(Y_test, tree_pred, labels=[False,True]).ravel()\n",
    "    \n",
    "    accuracies.append((tn + tp) / len(Y_test))\n",
    "    # Sensitivity: Tells us how many positives are correctly identified as positives\n",
    "    if tp + fn > 0:\n",
    "        positive_predictive_values.append(tp / (tp + fn))\n",
    "    # Specificity: Tells us how many negatives are correctly identified as negatives\n",
    "    if tn + fp > 0:\n",
    "        negative_predictive_values.append(tn / (tn + fp))\n",
    "    \n",
    "tree_accuracy = np.mean(accuracies)\n",
    "tree_positive_predictive_value = np.mean(positive_predictive_values)\n",
    "tree_negative_predictive_value = np.mean(negative_predictive_values)\n",
    "\n",
    "print(\"Accuracy:\", cv_accuracy)\n",
    "print(\"Accuracy for positive samples\",  tree_positive_predictive_value)\n",
    "print(\"Accuracy for negative samples\", tree_negative_predictive_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a54face",
   "metadata": {},
   "source": [
    "By increasing the number of features, the positive sample accuracy is a little bit better, this is a good sign \n",
    "to tell us that the model can be improved.\n",
    "\n",
    "<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b70e1aa",
   "metadata": {},
   "source": [
    "Previously we have only used supervised learing, lets see if unsupervised learning can give us any alterantive results with sets of different and the same features. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "id": "f7ccc9cd",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 2000x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Creating dendrogram from unsupervised learning on some of the previously unsued columns  \n",
    "df_nm = StandardScaler().fit_transform(df_rel[['Album_type','official_video','Licensed']].head(1000))\n",
    "clust = linkage(df_nm)\n",
    "dendrogram(clust)\n",
    "plt.show()\n",
    "\n",
    "#Creating dendrogram from unsupervised learning on some of the previously highly used  columns \n",
    "df_nm = StandardScaler().fit_transform(features.head(1000))\n",
    "clust = linkage(df_nm)\n",
    "dendrogram(clust)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "353ab39c",
   "metadata": {},
   "source": [
    "The first dendrogram seems to show that the model is highly mapped to the three features inputted and the second dendogram seems to show that the model is becoming too complex for interpretation.\n",
    "\n",
    "\n",
    "Neither of the two unsupervised learning models (trained on different data) are really showing 2 clear categories like our bianry target is based off of. This supports the fact that unsupervised learning does not map well to our problem at hand\n",
    "\n",
    "<BR>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8edab709",
   "metadata": {},
   "source": [
    "# Conclusions "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bb0836f",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "Ultimately, this project shows that a Decision Tree Classifier model was the most accurate model for determining whether a song will proportionally  do better on Spotify or Youtube based on its musical tratis. The process of coming to such was designed by analyzing relationships between data with a correlation plot, processing and splitting data, applying and comparing the accuracies of different machine learning models (Logistic Regresionn, K-NN, Decision Tree), and mapping these resutls to a data engineered target varibble. \n",
    "\n",
    "However our project also highlighted a major limitation within our dataset, the features were not definitive enough to our question. Despite changing the models being used, scaling the data, or adjusting the number of features used, the accuracy never grew above 70%. \n",
    "\n",
    "One resolution that can be found is that the accuracy of the decision tree model was able to slighly increase when more features were being considered, making the model more complex. In the future we would look towards more complex datasets and models to try and answer this question more accurately. This assumption is backed up by the fact that these music platofroms and the behaviors of their users are very complex as well. It is even further supported by the fact that their are low correlation values from our correlation matrix, but since these values are still between 0 - 0.2, some impact is being made, just at a low scale.\n",
    "\n",
    "Looking back on the specific results that are still interpretable, we can see that there are certain trends. For examples users who prefer acoustincness and instrumentalness are generally looking towards Spotify as their music platform, while users who are listening to songs with longer durations or songs with more danceability are using Youtube as their music platform more often.\n"
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