Top_5000_Albums_of_all_Time.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ee4c4bd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9ba05472",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('C://Users/Kristine/Downloads/Top5000.csv') # Kaggel Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b6764d06",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>ars_name</th>\n",
       "      <th>rel_date</th>\n",
       "      <th>gens</th>\n",
       "      <th>descs</th>\n",
       "      <th>avg_rat</th>\n",
       "      <th>num_rat</th>\n",
       "      <th>num_revs</th>\n",
       "      <th>album</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>valence</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Radiohead</td>\n",
       "      <td>16 June 1997</td>\n",
       "      <td>Alternative Rock, Art Rock</td>\n",
       "      <td>melancholic, anxious, futuristic, alienation, ...</td>\n",
       "      <td>4.23</td>\n",
       "      <td>70,382</td>\n",
       "      <td>1531</td>\n",
       "      <td>OK Computer</td>\n",
       "      <td>0.135763</td>\n",
       "      <td>0.288083</td>\n",
       "      <td>0.565917</td>\n",
       "      <td>0.161053</td>\n",
       "      <td>0.159375</td>\n",
       "      <td>-9.102417</td>\n",
       "      <td>0.056308</td>\n",
       "      <td>115.450750</td>\n",
       "      <td>0.291733</td>\n",
       "      <td>268435.500000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>12 September 1975</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>melancholic, atmospheric, progressive, male vo...</td>\n",
       "      <td>4.29</td>\n",
       "      <td>48,662</td>\n",
       "      <td>983</td>\n",
       "      <td>Wish You Were Here</td>\n",
       "      <td>0.602800</td>\n",
       "      <td>0.373600</td>\n",
       "      <td>0.409800</td>\n",
       "      <td>0.363040</td>\n",
       "      <td>0.384940</td>\n",
       "      <td>-12.689400</td>\n",
       "      <td>0.039740</td>\n",
       "      <td>130.018800</td>\n",
       "      <td>0.259040</td>\n",
       "      <td>530512.000000</td>\n",
       "      <td>3.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>King Crimson</td>\n",
       "      <td>10 October 1969</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>fantasy, epic, progressive, philosophical, com...</td>\n",
       "      <td>4.30</td>\n",
       "      <td>44,943</td>\n",
       "      <td>870</td>\n",
       "      <td>In the Court of the Crimson King</td>\n",
       "      <td>0.297686</td>\n",
       "      <td>0.340625</td>\n",
       "      <td>0.370475</td>\n",
       "      <td>0.327265</td>\n",
       "      <td>0.149138</td>\n",
       "      <td>-14.873125</td>\n",
       "      <td>0.043463</td>\n",
       "      <td>118.920625</td>\n",
       "      <td>0.279400</td>\n",
       "      <td>507644.125000</td>\n",
       "      <td>3.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Radiohead</td>\n",
       "      <td>3 October 2000</td>\n",
       "      <td>Art Rock, Experimental Rock, Electronic</td>\n",
       "      <td>cold, melancholic, futuristic, atmospheric, an...</td>\n",
       "      <td>4.21</td>\n",
       "      <td>58,590</td>\n",
       "      <td>734</td>\n",
       "      <td>Kid A</td>\n",
       "      <td>0.123219</td>\n",
       "      <td>0.601294</td>\n",
       "      <td>0.676706</td>\n",
       "      <td>0.000669</td>\n",
       "      <td>0.311412</td>\n",
       "      <td>-7.811941</td>\n",
       "      <td>0.268318</td>\n",
       "      <td>116.045059</td>\n",
       "      <td>0.398206</td>\n",
       "      <td>325379.529412</td>\n",
       "      <td>4.058824</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0      ars_name           rel_date  \\\n",
       "0           0     Radiohead       16 June 1997   \n",
       "1           1    Pink Floyd  12 September 1975   \n",
       "2           2  King Crimson    10 October 1969   \n",
       "3           3     Radiohead     3 October 2000   \n",
       "\n",
       "                                      gens  \\\n",
       "0               Alternative Rock, Art Rock   \n",
       "1               Progressive Rock, Art Rock   \n",
       "2               Progressive Rock, Art Rock   \n",
       "3  Art Rock, Experimental Rock, Electronic   \n",
       "\n",
       "                                               descs  avg_rat num_rat  \\\n",
       "0  melancholic, anxious, futuristic, alienation, ...     4.23  70,382   \n",
       "1  melancholic, atmospheric, progressive, male vo...     4.29  48,662   \n",
       "2  fantasy, epic, progressive, philosophical, com...     4.30  44,943   \n",
       "3  cold, melancholic, futuristic, atmospheric, an...     4.21  58,590   \n",
       "\n",
       "   num_revs                             album  acousticness  danceability  \\\n",
       "0      1531                       OK Computer      0.135763      0.288083   \n",
       "1       983                Wish You Were Here      0.602800      0.373600   \n",
       "2       870  In the Court of the Crimson King      0.297686      0.340625   \n",
       "3       734                             Kid A      0.123219      0.601294   \n",
       "\n",
       "     energy  instrumentalness  liveness   loudness  speechiness       tempo  \\\n",
       "0  0.565917          0.161053  0.159375  -9.102417     0.056308  115.450750   \n",
       "1  0.409800          0.363040  0.384940 -12.689400     0.039740  130.018800   \n",
       "2  0.370475          0.327265  0.149138 -14.873125     0.043463  118.920625   \n",
       "3  0.676706          0.000669  0.311412  -7.811941     0.268318  116.045059   \n",
       "\n",
       "    valence    duration_ms  time_signature  \n",
       "0  0.291733  268435.500000        4.000000  \n",
       "1  0.259040  530512.000000        3.600000  \n",
       "2  0.279400  507644.125000        3.875000  \n",
       "3  0.398206  325379.529412        4.058824  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "21c3b44a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>avg_rat</th>\n",
       "      <th>num_revs</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>valence</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4.402000e+03</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4402.000000</td>\n",
       "      <td>4.402000e+03</td>\n",
       "      <td>4402.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2200.500000</td>\n",
       "      <td>3.771320</td>\n",
       "      <td>76.538846</td>\n",
       "      <td>3.384089e-01</td>\n",
       "      <td>0.477338</td>\n",
       "      <td>0.575443</td>\n",
       "      <td>0.250817</td>\n",
       "      <td>0.201108</td>\n",
       "      <td>-10.674275</td>\n",
       "      <td>0.087147</td>\n",
       "      <td>119.290332</td>\n",
       "      <td>0.424103</td>\n",
       "      <td>2.849496e+05</td>\n",
       "      <td>3.855067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1270.892272</td>\n",
       "      <td>0.100606</td>\n",
       "      <td>112.977848</td>\n",
       "      <td>2.880880e-01</td>\n",
       "      <td>0.158556</td>\n",
       "      <td>0.226569</td>\n",
       "      <td>0.286694</td>\n",
       "      <td>0.096184</td>\n",
       "      <td>5.197312</td>\n",
       "      <td>0.081774</td>\n",
       "      <td>14.933975</td>\n",
       "      <td>0.200978</td>\n",
       "      <td>1.957019e+05</td>\n",
       "      <td>0.226416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.520000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.609091e-07</td>\n",
       "      <td>0.074900</td>\n",
       "      <td>0.002360</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032100</td>\n",
       "      <td>-45.267000</td>\n",
       "      <td>0.026200</td>\n",
       "      <td>60.011000</td>\n",
       "      <td>0.000010</td>\n",
       "      <td>3.976500e+04</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1100.250000</td>\n",
       "      <td>3.700000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>9.173208e-02</td>\n",
       "      <td>0.369511</td>\n",
       "      <td>0.422866</td>\n",
       "      <td>0.009679</td>\n",
       "      <td>0.138433</td>\n",
       "      <td>-13.054771</td>\n",
       "      <td>0.041927</td>\n",
       "      <td>110.363377</td>\n",
       "      <td>0.272830</td>\n",
       "      <td>1.998519e+05</td>\n",
       "      <td>3.769231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2200.500000</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>2.613944e-01</td>\n",
       "      <td>0.473867</td>\n",
       "      <td>0.598767</td>\n",
       "      <td>0.126991</td>\n",
       "      <td>0.179018</td>\n",
       "      <td>-9.590507</td>\n",
       "      <td>0.055399</td>\n",
       "      <td>119.175856</td>\n",
       "      <td>0.424937</td>\n",
       "      <td>2.432006e+05</td>\n",
       "      <td>3.916667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3300.750000</td>\n",
       "      <td>3.810000</td>\n",
       "      <td>91.000000</td>\n",
       "      <td>5.439500e-01</td>\n",
       "      <td>0.584472</td>\n",
       "      <td>0.746233</td>\n",
       "      <td>0.423197</td>\n",
       "      <td>0.238470</td>\n",
       "      <td>-7.031358</td>\n",
       "      <td>0.094167</td>\n",
       "      <td>128.042923</td>\n",
       "      <td>0.577492</td>\n",
       "      <td>3.071986e+05</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4401.000000</td>\n",
       "      <td>4.340000</td>\n",
       "      <td>1549.000000</td>\n",
       "      <td>9.960000e-01</td>\n",
       "      <td>0.946000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.993000</td>\n",
       "      <td>0.937000</td>\n",
       "      <td>0.942625</td>\n",
       "      <td>0.944000</td>\n",
       "      <td>197.931000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>3.876277e+06</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0      avg_rat     num_revs  acousticness  danceability  \\\n",
       "count  4402.000000  4402.000000  4402.000000  4.402000e+03   4402.000000   \n",
       "mean   2200.500000     3.771320    76.538846  3.384089e-01      0.477338   \n",
       "std    1270.892272     0.100606   112.977848  2.880880e-01      0.158556   \n",
       "min       0.000000     3.520000     0.000000  6.609091e-07      0.074900   \n",
       "25%    1100.250000     3.700000    16.000000  9.173208e-02      0.369511   \n",
       "50%    2200.500000     3.750000    39.000000  2.613944e-01      0.473867   \n",
       "75%    3300.750000     3.810000    91.000000  5.439500e-01      0.584472   \n",
       "max    4401.000000     4.340000  1549.000000  9.960000e-01      0.946000   \n",
       "\n",
       "            energy  instrumentalness     liveness     loudness  speechiness  \\\n",
       "count  4402.000000       4402.000000  4402.000000  4402.000000  4402.000000   \n",
       "mean      0.575443          0.250817     0.201108   -10.674275     0.087147   \n",
       "std       0.226569          0.286694     0.096184     5.197312     0.081774   \n",
       "min       0.002360          0.000000     0.032100   -45.267000     0.026200   \n",
       "25%       0.422866          0.009679     0.138433   -13.054771     0.041927   \n",
       "50%       0.598767          0.126991     0.179018    -9.590507     0.055399   \n",
       "75%       0.746233          0.423197     0.238470    -7.031358     0.094167   \n",
       "max       1.000000          0.993000     0.937000     0.942625     0.944000   \n",
       "\n",
       "             tempo      valence   duration_ms  time_signature  \n",
       "count  4402.000000  4402.000000  4.402000e+03     4402.000000  \n",
       "mean    119.290332     0.424103  2.849496e+05        3.855067  \n",
       "std      14.933975     0.200978  1.957019e+05        0.226416  \n",
       "min      60.011000     0.000010  3.976500e+04        1.000000  \n",
       "25%     110.363377     0.272830  1.998519e+05        3.769231  \n",
       "50%     119.175856     0.424937  2.432006e+05        3.916667  \n",
       "75%     128.042923     0.577492  3.071986e+05        4.000000  \n",
       "max     197.931000     0.990000  3.876277e+06        5.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6c5f8f09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0            2200.500000\n",
       "avg_rat                  3.750000\n",
       "num_revs                39.000000\n",
       "acousticness             0.261394\n",
       "danceability             0.473867\n",
       "energy                   0.598767\n",
       "instrumentalness         0.126991\n",
       "liveness                 0.179018\n",
       "loudness                -9.590507\n",
       "speechiness              0.055399\n",
       "tempo                  119.175856\n",
       "valence                  0.424937\n",
       "duration_ms         243200.625000\n",
       "time_signature           3.916667\n",
       "dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e66256ad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4402 entries, 0 to 4401\n",
      "Data columns (total 20 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Unnamed: 0        4402 non-null   int64  \n",
      " 1   ars_name          4402 non-null   object \n",
      " 2   rel_date          4402 non-null   object \n",
      " 3   gens              4402 non-null   object \n",
      " 4   descs             4304 non-null   object \n",
      " 5   avg_rat           4402 non-null   float64\n",
      " 6   num_rat           4402 non-null   object \n",
      " 7   num_revs          4402 non-null   int64  \n",
      " 8   album             4402 non-null   object \n",
      " 9   acousticness      4402 non-null   float64\n",
      " 10  danceability      4402 non-null   float64\n",
      " 11  energy            4402 non-null   float64\n",
      " 12  instrumentalness  4402 non-null   float64\n",
      " 13  liveness          4402 non-null   float64\n",
      " 14  loudness          4402 non-null   float64\n",
      " 15  speechiness       4402 non-null   float64\n",
      " 16  tempo             4402 non-null   float64\n",
      " 17  valence           4402 non-null   float64\n",
      " 18  duration_ms       4402 non-null   float64\n",
      " 19  time_signature    4402 non-null   float64\n",
      "dtypes: float64(12), int64(2), object(6)\n",
      "memory usage: 687.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "601d7fd2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['num_rat'] = df['num_rat'].str.replace(\",\",\".\").astype(float)   # Converting 'num_rat' column into dtype float"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4b422722",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4402 entries, 0 to 4401\n",
      "Data columns (total 20 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Unnamed: 0        4402 non-null   int64  \n",
      " 1   ars_name          4402 non-null   object \n",
      " 2   rel_date          4402 non-null   object \n",
      " 3   gens              4402 non-null   object \n",
      " 4   descs             4304 non-null   object \n",
      " 5   avg_rat           4402 non-null   float64\n",
      " 6   num_rat           4402 non-null   float64\n",
      " 7   num_revs          4402 non-null   int64  \n",
      " 8   album             4402 non-null   object \n",
      " 9   acousticness      4402 non-null   float64\n",
      " 10  danceability      4402 non-null   float64\n",
      " 11  energy            4402 non-null   float64\n",
      " 12  instrumentalness  4402 non-null   float64\n",
      " 13  liveness          4402 non-null   float64\n",
      " 14  loudness          4402 non-null   float64\n",
      " 15  speechiness       4402 non-null   float64\n",
      " 16  tempo             4402 non-null   float64\n",
      " 17  valence           4402 non-null   float64\n",
      " 18  duration_ms       4402 non-null   float64\n",
      " 19  time_signature    4402 non-null   float64\n",
      "dtypes: float64(13), int64(2), object(5)\n",
      "memory usage: 687.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "65633407",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0           0\n",
       "ars_name             0\n",
       "rel_date             0\n",
       "gens                 0\n",
       "descs               98\n",
       "avg_rat              0\n",
       "num_rat              0\n",
       "num_revs             0\n",
       "album                0\n",
       "acousticness         0\n",
       "danceability         0\n",
       "energy               0\n",
       "instrumentalness     0\n",
       "liveness             0\n",
       "loudness             0\n",
       "speechiness          0\n",
       "tempo                0\n",
       "valence              0\n",
       "duration_ms          0\n",
       "time_signature       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c4e9253b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['melancholic, anxious, futuristic, alienation, existential, male vocals, atmospheric, lonely, cold, introspective',\n",
       "       'melancholic, atmospheric, progressive, male vocals, concept album, introspective, serious, longing, bittersweet, meditative',\n",
       "       'fantasy, epic, progressive, philosophical, complex, surreal, poetic, male vocals, melancholic, technical',\n",
       "       ...,\n",
       "       'male vocals, anarchism, aggressive, angry, heavy, political, sampling',\n",
       "       'atmospheric, poetic, dark, male vocals, ominous, suspenseful, mysterious, cryptic, sombre, pastoral',\n",
       "       'lush, female vocals, romantic, uplifting, summer, love, bittersweet, passionate, sensual, warm'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['descs'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ccd4f73d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "male vocals                                                                                                         29\n",
       "female vocals                                                                                                       10\n",
       "instrumental, acoustic, improvisation                                                                                6\n",
       "instrumental                                                                                                         6\n",
       "improvisation, instrumental                                                                                          4\n",
       "                                                                                                                    ..\n",
       "conscious, passionate, mellow, political, male vocals, rhythmic, atmospheric, spiritual, sombre, hypnotic            1\n",
       "male vocals, progressive, complex, fantasy, poetic, uncommon time signatures, concept album, melodic                 1\n",
       "complex, melodic, fantasy, epic, progressive, uncommon time signatures, male vocals, atmospheric, mellow, desert     1\n",
       "ethereal, melancholic, lonely, lo-fi, atmospheric, forest, soothing, acoustic, introspective, female vocals          1\n",
       "sentimental, melodic, female vocals, longing, soft, mellow, love, bittersweet, Christian                             1\n",
       "Name: descs, Length: 4239, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['descs'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "37401662",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns = {'Unnamed: 0' : 'id_number'}, inplace = True) #Renaming column 'Unnamed: 0'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4c432635",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ars_name</th>\n",
       "      <th>rel_date</th>\n",
       "      <th>gens</th>\n",
       "      <th>descs</th>\n",
       "      <th>avg_rat</th>\n",
       "      <th>num_rat</th>\n",
       "      <th>num_revs</th>\n",
       "      <th>album</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>valence</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id_number</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>0</th>\n",
       "      <td>Radiohead</td>\n",
       "      <td>16 June 1997</td>\n",
       "      <td>Alternative Rock, Art Rock</td>\n",
       "      <td>melancholic, anxious, futuristic, alienation, ...</td>\n",
       "      <td>4.23</td>\n",
       "      <td>70,382</td>\n",
       "      <td>1531</td>\n",
       "      <td>OK Computer</td>\n",
       "      <td>0.135763</td>\n",
       "      <td>0.288083</td>\n",
       "      <td>0.565917</td>\n",
       "      <td>0.161053</td>\n",
       "      <td>0.159375</td>\n",
       "      <td>-9.102417</td>\n",
       "      <td>0.056308</td>\n",
       "      <td>115.450750</td>\n",
       "      <td>0.291733</td>\n",
       "      <td>268435.500000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>12 September 1975</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>melancholic, atmospheric, progressive, male vo...</td>\n",
       "      <td>4.29</td>\n",
       "      <td>48,662</td>\n",
       "      <td>983</td>\n",
       "      <td>Wish You Were Here</td>\n",
       "      <td>0.602800</td>\n",
       "      <td>0.373600</td>\n",
       "      <td>0.409800</td>\n",
       "      <td>0.363040</td>\n",
       "      <td>0.384940</td>\n",
       "      <td>-12.689400</td>\n",
       "      <td>0.039740</td>\n",
       "      <td>130.018800</td>\n",
       "      <td>0.259040</td>\n",
       "      <td>530512.000000</td>\n",
       "      <td>3.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>King Crimson</td>\n",
       "      <td>10 October 1969</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>fantasy, epic, progressive, philosophical, com...</td>\n",
       "      <td>4.30</td>\n",
       "      <td>44,943</td>\n",
       "      <td>870</td>\n",
       "      <td>In the Court of the Crimson King</td>\n",
       "      <td>0.297686</td>\n",
       "      <td>0.340625</td>\n",
       "      <td>0.370475</td>\n",
       "      <td>0.327265</td>\n",
       "      <td>0.149138</td>\n",
       "      <td>-14.873125</td>\n",
       "      <td>0.043463</td>\n",
       "      <td>118.920625</td>\n",
       "      <td>0.279400</td>\n",
       "      <td>507644.125000</td>\n",
       "      <td>3.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Radiohead</td>\n",
       "      <td>3 October 2000</td>\n",
       "      <td>Art Rock, Experimental Rock, Electronic</td>\n",
       "      <td>cold, melancholic, futuristic, atmospheric, an...</td>\n",
       "      <td>4.21</td>\n",
       "      <td>58,590</td>\n",
       "      <td>734</td>\n",
       "      <td>Kid A</td>\n",
       "      <td>0.123219</td>\n",
       "      <td>0.601294</td>\n",
       "      <td>0.676706</td>\n",
       "      <td>0.000669</td>\n",
       "      <td>0.311412</td>\n",
       "      <td>-7.811941</td>\n",
       "      <td>0.268318</td>\n",
       "      <td>116.045059</td>\n",
       "      <td>0.398206</td>\n",
       "      <td>325379.529412</td>\n",
       "      <td>4.058824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kendrick Lamar</td>\n",
       "      <td>15 March 2015</td>\n",
       "      <td>Conscious Hip Hop, West Coast Hip Hop, Jazz Rap</td>\n",
       "      <td>political, conscious, poetic, protest, concept...</td>\n",
       "      <td>4.27</td>\n",
       "      <td>44,206</td>\n",
       "      <td>379</td>\n",
       "      <td>To Pimp a Butterfly</td>\n",
       "      <td>0.322889</td>\n",
       "      <td>0.590750</td>\n",
       "      <td>0.707625</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.318419</td>\n",
       "      <td>-5.802062</td>\n",
       "      <td>0.294175</td>\n",
       "      <td>103.444563</td>\n",
       "      <td>0.487187</td>\n",
       "      <td>296225.750000</td>\n",
       "      <td>3.812500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4397</th>\n",
       "      <td>John Hiatt</td>\n",
       "      <td>May 1987</td>\n",
       "      <td>Singer/Songwriter, Roots Rock, Americana</td>\n",
       "      <td>love, lethargic, lonely, existential, melodic,...</td>\n",
       "      <td>3.68</td>\n",
       "      <td>727</td>\n",
       "      <td>37</td>\n",
       "      <td>Bring the Family</td>\n",
       "      <td>0.286402</td>\n",
       "      <td>0.607100</td>\n",
       "      <td>0.460700</td>\n",
       "      <td>0.001658</td>\n",
       "      <td>0.125710</td>\n",
       "      <td>-12.683700</td>\n",
       "      <td>0.030090</td>\n",
       "      <td>106.136700</td>\n",
       "      <td>0.568300</td>\n",
       "      <td>273146.700000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4398</th>\n",
       "      <td>Catharsis</td>\n",
       "      <td>1999</td>\n",
       "      <td>Crust Punk, Metalcore</td>\n",
       "      <td>male vocals, anarchism, aggressive, angry, hea...</td>\n",
       "      <td>3.65</td>\n",
       "      <td>616</td>\n",
       "      <td>6</td>\n",
       "      <td>Passion</td>\n",
       "      <td>0.156502</td>\n",
       "      <td>0.572050</td>\n",
       "      <td>0.621100</td>\n",
       "      <td>0.004154</td>\n",
       "      <td>0.250530</td>\n",
       "      <td>-6.659900</td>\n",
       "      <td>0.088560</td>\n",
       "      <td>127.249950</td>\n",
       "      <td>0.432750</td>\n",
       "      <td>202675.450000</td>\n",
       "      <td>3.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4399</th>\n",
       "      <td>Gracious</td>\n",
       "      <td>17 July 1970</td>\n",
       "      <td>Progressive Rock, Symphonic Prog</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.69</td>\n",
       "      <td>565</td>\n",
       "      <td>32</td>\n",
       "      <td>Gracious!</td>\n",
       "      <td>0.075487</td>\n",
       "      <td>0.528636</td>\n",
       "      <td>0.731000</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>0.222845</td>\n",
       "      <td>-4.805273</td>\n",
       "      <td>0.049027</td>\n",
       "      <td>149.398818</td>\n",
       "      <td>0.622545</td>\n",
       "      <td>193269.454545</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4400</th>\n",
       "      <td>And Also the Trees</td>\n",
       "      <td>12 November 2007</td>\n",
       "      <td>Art Rock</td>\n",
       "      <td>atmospheric, poetic, dark, male vocals, ominou...</td>\n",
       "      <td>3.68</td>\n",
       "      <td>524</td>\n",
       "      <td>15</td>\n",
       "      <td>(Listen For) The Rag and Bone Man</td>\n",
       "      <td>0.417308</td>\n",
       "      <td>0.397462</td>\n",
       "      <td>0.458000</td>\n",
       "      <td>0.543231</td>\n",
       "      <td>0.127646</td>\n",
       "      <td>-13.088692</td>\n",
       "      <td>0.037354</td>\n",
       "      <td>118.958923</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>229115.846154</td>\n",
       "      <td>3.923077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4401</th>\n",
       "      <td>Minnie Riperton</td>\n",
       "      <td>22 May 1975</td>\n",
       "      <td>Smooth Soul, Pop Soul</td>\n",
       "      <td>lush, female vocals, romantic, uplifting, summ...</td>\n",
       "      <td>3.69</td>\n",
       "      <td>490</td>\n",
       "      <td>14</td>\n",
       "      <td>Adventures in Paradise</td>\n",
       "      <td>0.405390</td>\n",
       "      <td>0.543100</td>\n",
       "      <td>0.469300</td>\n",
       "      <td>0.073309</td>\n",
       "      <td>0.154910</td>\n",
       "      <td>-11.508600</td>\n",
       "      <td>0.048810</td>\n",
       "      <td>110.463100</td>\n",
       "      <td>0.576300</td>\n",
       "      <td>242398.800000</td>\n",
       "      <td>3.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4402 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     ars_name           rel_date  \\\n",
       "id_number                                          \n",
       "0                   Radiohead       16 June 1997   \n",
       "1                  Pink Floyd  12 September 1975   \n",
       "2                King Crimson    10 October 1969   \n",
       "3                   Radiohead     3 October 2000   \n",
       "4              Kendrick Lamar      15 March 2015   \n",
       "...                       ...                ...   \n",
       "4397               John Hiatt           May 1987   \n",
       "4398                Catharsis               1999   \n",
       "4399                 Gracious       17 July 1970   \n",
       "4400       And Also the Trees   12 November 2007   \n",
       "4401          Minnie Riperton        22 May 1975   \n",
       "\n",
       "                                                      gens  \\\n",
       "id_number                                                    \n",
       "0                               Alternative Rock, Art Rock   \n",
       "1                               Progressive Rock, Art Rock   \n",
       "2                               Progressive Rock, Art Rock   \n",
       "3                  Art Rock, Experimental Rock, Electronic   \n",
       "4          Conscious Hip Hop, West Coast Hip Hop, Jazz Rap   \n",
       "...                                                    ...   \n",
       "4397              Singer/Songwriter, Roots Rock, Americana   \n",
       "4398                                 Crust Punk, Metalcore   \n",
       "4399                      Progressive Rock, Symphonic Prog   \n",
       "4400                                              Art Rock   \n",
       "4401                                 Smooth Soul, Pop Soul   \n",
       "\n",
       "                                                       descs  avg_rat num_rat  \\\n",
       "id_number                                                                       \n",
       "0          melancholic, anxious, futuristic, alienation, ...     4.23  70,382   \n",
       "1          melancholic, atmospheric, progressive, male vo...     4.29  48,662   \n",
       "2          fantasy, epic, progressive, philosophical, com...     4.30  44,943   \n",
       "3          cold, melancholic, futuristic, atmospheric, an...     4.21  58,590   \n",
       "4          political, conscious, poetic, protest, concept...     4.27  44,206   \n",
       "...                                                      ...      ...     ...   \n",
       "4397       love, lethargic, lonely, existential, melodic,...     3.68     727   \n",
       "4398       male vocals, anarchism, aggressive, angry, hea...     3.65     616   \n",
       "4399                                                     NaN     3.69     565   \n",
       "4400       atmospheric, poetic, dark, male vocals, ominou...     3.68     524   \n",
       "4401       lush, female vocals, romantic, uplifting, summ...     3.69     490   \n",
       "\n",
       "           num_revs                              album  acousticness  \\\n",
       "id_number                                                              \n",
       "0              1531                        OK Computer      0.135763   \n",
       "1               983                 Wish You Were Here      0.602800   \n",
       "2               870   In the Court of the Crimson King      0.297686   \n",
       "3               734                              Kid A      0.123219   \n",
       "4               379                To Pimp a Butterfly      0.322889   \n",
       "...             ...                                ...           ...   \n",
       "4397             37                   Bring the Family      0.286402   \n",
       "4398              6                            Passion      0.156502   \n",
       "4399             32                          Gracious!      0.075487   \n",
       "4400             15  (Listen For) The Rag and Bone Man      0.417308   \n",
       "4401             14             Adventures in Paradise      0.405390   \n",
       "\n",
       "           danceability    energy  instrumentalness  liveness   loudness  \\\n",
       "id_number                                                                  \n",
       "0              0.288083  0.565917          0.161053  0.159375  -9.102417   \n",
       "1              0.373600  0.409800          0.363040  0.384940 -12.689400   \n",
       "2              0.340625  0.370475          0.327265  0.149138 -14.873125   \n",
       "3              0.601294  0.676706          0.000669  0.311412  -7.811941   \n",
       "4              0.590750  0.707625          0.000011  0.318419  -5.802062   \n",
       "...                 ...       ...               ...       ...        ...   \n",
       "4397           0.607100  0.460700          0.001658  0.125710 -12.683700   \n",
       "4398           0.572050  0.621100          0.004154  0.250530  -6.659900   \n",
       "4399           0.528636  0.731000          0.000128  0.222845  -4.805273   \n",
       "4400           0.397462  0.458000          0.543231  0.127646 -13.088692   \n",
       "4401           0.543100  0.469300          0.073309  0.154910 -11.508600   \n",
       "\n",
       "           speechiness       tempo   valence    duration_ms  time_signature  \n",
       "id_number                                                                    \n",
       "0             0.056308  115.450750  0.291733  268435.500000        4.000000  \n",
       "1             0.039740  130.018800  0.259040  530512.000000        3.600000  \n",
       "2             0.043463  118.920625  0.279400  507644.125000        3.875000  \n",
       "3             0.268318  116.045059  0.398206  325379.529412        4.058824  \n",
       "4             0.294175  103.444563  0.487187  296225.750000        3.812500  \n",
       "...                ...         ...       ...            ...             ...  \n",
       "4397          0.030090  106.136700  0.568300  273146.700000        4.000000  \n",
       "4398          0.088560  127.249950  0.432750  202675.450000        3.950000  \n",
       "4399          0.049027  149.398818  0.622545  193269.454545        4.000000  \n",
       "4400          0.037354  118.958923  0.252892  229115.846154        3.923077  \n",
       "4401          0.048810  110.463100  0.576300  242398.800000        3.800000  \n",
       "\n",
       "[4402 rows x 19 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.set_index('id_number')      #Setting new column as index column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4b0cb35b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_na = df.loc[df['descs'].isna()] # Creating new DataFame where column 'descs' value equals to NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "397db529",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>gens</th>\n",
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       "      <th>avg_rat</th>\n",
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       "      <th>loudness</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>773</td>\n",
       "      <td>Nino Rota</td>\n",
       "      <td>1974</td>\n",
       "      <td>Film Score, Cinematic Classical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.90</td>\n",
       "      <td>358</td>\n",
       "      <td>4</td>\n",
       "      <td>Amarcord</td>\n",
       "      <td>0.725333</td>\n",
       "      <td>0.419000</td>\n",
       "      <td>0.283167</td>\n",
       "      <td>0.555167</td>\n",
       "      <td>0.129700</td>\n",
       "      <td>-12.809500</td>\n",
       "      <td>0.037783</td>\n",
       "      <td>124.176417</td>\n",
       "      <td>0.456583</td>\n",
       "      <td>148495.666667</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1316</th>\n",
       "      <td>1316</td>\n",
       "      <td>Nino Rota / Carmine Coppola</td>\n",
       "      <td>December 1974</td>\n",
       "      <td>Film Score, Cinematic Classical</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.84</td>\n",
       "      <td>353</td>\n",
       "      <td>2</td>\n",
       "      <td>The Godfather, Part II</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.489000</td>\n",
       "      <td>0.058000</td>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>-17.876000</td>\n",
       "      <td>0.052100</td>\n",
       "      <td>63.876000</td>\n",
       "      <td>0.183000</td>\n",
       "      <td>162586.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>1580</td>\n",
       "      <td>Jon Brion</td>\n",
       "      <td>5 November 2002</td>\n",
       "      <td>Film Score</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.82</td>\n",
       "      <td>435</td>\n",
       "      <td>8</td>\n",
       "      <td>Punch-Drunk Love</td>\n",
       "      <td>0.820588</td>\n",
       "      <td>0.414641</td>\n",
       "      <td>0.208959</td>\n",
       "      <td>0.540400</td>\n",
       "      <td>0.190071</td>\n",
       "      <td>-17.323235</td>\n",
       "      <td>0.039612</td>\n",
       "      <td>106.106706</td>\n",
       "      <td>0.313941</td>\n",
       "      <td>155724.058824</td>\n",
       "      <td>3.647059</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      id_number                     ars_name         rel_date  \\\n",
       "773         773                    Nino Rota             1974   \n",
       "1316       1316  Nino Rota / Carmine Coppola    December 1974   \n",
       "1580       1580                    Jon Brion  5 November 2002   \n",
       "\n",
       "                                 gens descs  avg_rat num_rat  num_revs  \\\n",
       "773   Film Score, Cinematic Classical   NaN     3.90     358         4   \n",
       "1316  Film Score, Cinematic Classical   NaN     3.84     353         2   \n",
       "1580                       Film Score   NaN     3.82     435         8   \n",
       "\n",
       "                       album  acousticness  danceability    energy  \\\n",
       "773                 Amarcord      0.725333      0.419000  0.283167   \n",
       "1316  The Godfather, Part II      0.995000      0.489000  0.058000   \n",
       "1580        Punch-Drunk Love      0.820588      0.414641  0.208959   \n",
       "\n",
       "      instrumentalness  liveness   loudness  speechiness       tempo  \\\n",
       "773           0.555167  0.129700 -12.809500     0.037783  124.176417   \n",
       "1316          0.940000  0.110000 -17.876000     0.052100   63.876000   \n",
       "1580          0.540400  0.190071 -17.323235     0.039612  106.106706   \n",
       "\n",
       "       valence    duration_ms  time_signature  \n",
       "773   0.456583  148495.666667        4.000000  \n",
       "1316  0.183000  162586.000000        4.000000  \n",
       "1580  0.313941  155724.058824        3.647059  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_na.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b24c9772",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-13-623245f07896>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_na['descs'] = df_na.loc[:, ('gens')].str.split(\",\", 1, expand=True)  # Replacing NaN value with splitted value from column 'gens'\n"
     ]
    }
   ],
   "source": [
    "df_na['descs'] = df_na.loc[:, ('gens')].str.split(\",\", 1, expand=True)  # Replacing NaN value with splitted value from column 'gens'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7a9851b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "14873f32",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[['nvalue1', 'nvalue2']] = df['gens'].str.split(\",\", 1, expand=True)  # Creating new columns by splitting column 'gens' by first coma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "57624a1f",
   "metadata": {},
   "outputs": [
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       "      <td>Progressive Rock, Art Rock</td>\n",
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       "      <td>4.30</td>\n",
       "      <td>44.943</td>\n",
       "      <td>870</td>\n",
       "      <td>In the Court of the Crimson King</td>\n",
       "      <td>0.297686</td>\n",
       "      <td>...</td>\n",
       "      <td>0.327265</td>\n",
       "      <td>0.149138</td>\n",
       "      <td>-14.873125</td>\n",
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       "      <td>118.920625</td>\n",
       "      <td>0.279400</td>\n",
       "      <td>507644.125</td>\n",
       "      <td>3.875</td>\n",
       "      <td>Progressive Rock</td>\n",
       "      <td>Art Rock</td>\n",
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       "   id_number      ars_name           rel_date                        gens  \\\n",
       "0          0     Radiohead       16 June 1997  Alternative Rock, Art Rock   \n",
       "1          1    Pink Floyd  12 September 1975  Progressive Rock, Art Rock   \n",
       "2          2  King Crimson    10 October 1969  Progressive Rock, Art Rock   \n",
       "\n",
       "                                               descs  avg_rat  num_rat  \\\n",
       "0  melancholic, anxious, futuristic, alienation, ...     4.23   70.382   \n",
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       "2  fantasy, epic, progressive, philosophical, com...     4.30   44.943   \n",
       "\n",
       "   num_revs                             album  acousticness  ...  \\\n",
       "0      1531                       OK Computer      0.135763  ...   \n",
       "1       983                Wish You Were Here      0.602800  ...   \n",
       "2       870  In the Court of the Crimson King      0.297686  ...   \n",
       "\n",
       "   instrumentalness  liveness   loudness  speechiness       tempo   valence  \\\n",
       "0          0.161053  0.159375  -9.102417     0.056308  115.450750  0.291733   \n",
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       "2          0.327265  0.149138 -14.873125     0.043463  118.920625  0.279400   \n",
       "\n",
       "   duration_ms  time_signature           nvalue1    nvalue2  \n",
       "0   268435.500           4.000  Alternative Rock   Art Rock  \n",
       "1   530512.000           3.600  Progressive Rock   Art Rock  \n",
       "2   507644.125           3.875  Progressive Rock   Art Rock  \n",
       "\n",
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   "id": "8d612cff",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['descs'] = df['descs'].fillna(df['nvalue1'])   # Replacing NaN value with value from column 'nvalue1'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "74591538",
   "metadata": {},
   "outputs": [
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  {
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   "outputs": [
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       "      <td>0.565917</td>\n",
       "      <td>0.161053</td>\n",
       "      <td>0.159375</td>\n",
       "      <td>-9.102417</td>\n",
       "      <td>0.056308</td>\n",
       "      <td>115.450750</td>\n",
       "      <td>0.291733</td>\n",
       "      <td>268435.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>Alternative Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>12 September 1975</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>melancholic, atmospheric, progressive, male vo...</td>\n",
       "      <td>4.29</td>\n",
       "      <td>48.662</td>\n",
       "      <td>983</td>\n",
       "      <td>Wish You Were Here</td>\n",
       "      <td>0.602800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.409800</td>\n",
       "      <td>0.363040</td>\n",
       "      <td>0.384940</td>\n",
       "      <td>-12.689400</td>\n",
       "      <td>0.039740</td>\n",
       "      <td>130.018800</td>\n",
       "      <td>0.259040</td>\n",
       "      <td>530512.000000</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>Progressive Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>King Crimson</td>\n",
       "      <td>10 October 1969</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>fantasy, epic, progressive, philosophical, com...</td>\n",
       "      <td>4.30</td>\n",
       "      <td>44.943</td>\n",
       "      <td>870</td>\n",
       "      <td>In the Court of the Crimson King</td>\n",
       "      <td>0.297686</td>\n",
       "      <td>...</td>\n",
       "      <td>0.370475</td>\n",
       "      <td>0.327265</td>\n",
       "      <td>0.149138</td>\n",
       "      <td>-14.873125</td>\n",
       "      <td>0.043463</td>\n",
       "      <td>118.920625</td>\n",
       "      <td>0.279400</td>\n",
       "      <td>507644.125000</td>\n",
       "      <td>3.875000</td>\n",
       "      <td>Progressive Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Radiohead</td>\n",
       "      <td>3 October 2000</td>\n",
       "      <td>Art Rock, Experimental Rock, Electronic</td>\n",
       "      <td>cold, melancholic, futuristic, atmospheric, an...</td>\n",
       "      <td>4.21</td>\n",
       "      <td>58.590</td>\n",
       "      <td>734</td>\n",
       "      <td>Kid A</td>\n",
       "      <td>0.123219</td>\n",
       "      <td>...</td>\n",
       "      <td>0.676706</td>\n",
       "      <td>0.000669</td>\n",
       "      <td>0.311412</td>\n",
       "      <td>-7.811941</td>\n",
       "      <td>0.268318</td>\n",
       "      <td>116.045059</td>\n",
       "      <td>0.398206</td>\n",
       "      <td>325379.529412</td>\n",
       "      <td>4.058824</td>\n",
       "      <td>Art Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Kendrick Lamar</td>\n",
       "      <td>15 March 2015</td>\n",
       "      <td>Conscious Hip Hop, West Coast Hip Hop, Jazz Rap</td>\n",
       "      <td>political, conscious, poetic, protest, concept...</td>\n",
       "      <td>4.27</td>\n",
       "      <td>44.206</td>\n",
       "      <td>379</td>\n",
       "      <td>To Pimp a Butterfly</td>\n",
       "      <td>0.322889</td>\n",
       "      <td>...</td>\n",
       "      <td>0.707625</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.318419</td>\n",
       "      <td>-5.802062</td>\n",
       "      <td>0.294175</td>\n",
       "      <td>103.444563</td>\n",
       "      <td>0.487187</td>\n",
       "      <td>296225.750000</td>\n",
       "      <td>3.812500</td>\n",
       "      <td>Conscious Hip Hop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4397</th>\n",
       "      <td>4397</td>\n",
       "      <td>John Hiatt</td>\n",
       "      <td>May 1987</td>\n",
       "      <td>Singer/Songwriter, Roots Rock, Americana</td>\n",
       "      <td>love, lethargic, lonely, existential, melodic,...</td>\n",
       "      <td>3.68</td>\n",
       "      <td>727.000</td>\n",
       "      <td>37</td>\n",
       "      <td>Bring the Family</td>\n",
       "      <td>0.286402</td>\n",
       "      <td>...</td>\n",
       "      <td>0.460700</td>\n",
       "      <td>0.001658</td>\n",
       "      <td>0.125710</td>\n",
       "      <td>-12.683700</td>\n",
       "      <td>0.030090</td>\n",
       "      <td>106.136700</td>\n",
       "      <td>0.568300</td>\n",
       "      <td>273146.700000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>Singer/Songwriter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4398</th>\n",
       "      <td>4398</td>\n",
       "      <td>Catharsis</td>\n",
       "      <td>1999</td>\n",
       "      <td>Crust Punk, Metalcore</td>\n",
       "      <td>male vocals, anarchism, aggressive, angry, hea...</td>\n",
       "      <td>3.65</td>\n",
       "      <td>616.000</td>\n",
       "      <td>6</td>\n",
       "      <td>Passion</td>\n",
       "      <td>0.156502</td>\n",
       "      <td>...</td>\n",
       "      <td>0.621100</td>\n",
       "      <td>0.004154</td>\n",
       "      <td>0.250530</td>\n",
       "      <td>-6.659900</td>\n",
       "      <td>0.088560</td>\n",
       "      <td>127.249950</td>\n",
       "      <td>0.432750</td>\n",
       "      <td>202675.450000</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>Crust Punk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4399</th>\n",
       "      <td>4399</td>\n",
       "      <td>Gracious</td>\n",
       "      <td>17 July 1970</td>\n",
       "      <td>Progressive Rock, Symphonic Prog</td>\n",
       "      <td>Progressive Rock</td>\n",
       "      <td>3.69</td>\n",
       "      <td>565.000</td>\n",
       "      <td>32</td>\n",
       "      <td>Gracious!</td>\n",
       "      <td>0.075487</td>\n",
       "      <td>...</td>\n",
       "      <td>0.731000</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>0.222845</td>\n",
       "      <td>-4.805273</td>\n",
       "      <td>0.049027</td>\n",
       "      <td>149.398818</td>\n",
       "      <td>0.622545</td>\n",
       "      <td>193269.454545</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>Progressive Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4400</th>\n",
       "      <td>4400</td>\n",
       "      <td>And Also the Trees</td>\n",
       "      <td>12 November 2007</td>\n",
       "      <td>Art Rock</td>\n",
       "      <td>atmospheric, poetic, dark, male vocals, ominou...</td>\n",
       "      <td>3.68</td>\n",
       "      <td>524.000</td>\n",
       "      <td>15</td>\n",
       "      <td>(Listen For) The Rag and Bone Man</td>\n",
       "      <td>0.417308</td>\n",
       "      <td>...</td>\n",
       "      <td>0.458000</td>\n",
       "      <td>0.543231</td>\n",
       "      <td>0.127646</td>\n",
       "      <td>-13.088692</td>\n",
       "      <td>0.037354</td>\n",
       "      <td>118.958923</td>\n",
       "      <td>0.252892</td>\n",
       "      <td>229115.846154</td>\n",
       "      <td>3.923077</td>\n",
       "      <td>Art Rock</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4401</th>\n",
       "      <td>4401</td>\n",
       "      <td>Minnie Riperton</td>\n",
       "      <td>22 May 1975</td>\n",
       "      <td>Smooth Soul, Pop Soul</td>\n",
       "      <td>lush, female vocals, romantic, uplifting, summ...</td>\n",
       "      <td>3.69</td>\n",
       "      <td>490.000</td>\n",
       "      <td>14</td>\n",
       "      <td>Adventures in Paradise</td>\n",
       "      <td>0.405390</td>\n",
       "      <td>...</td>\n",
       "      <td>0.469300</td>\n",
       "      <td>0.073309</td>\n",
       "      <td>0.154910</td>\n",
       "      <td>-11.508600</td>\n",
       "      <td>0.048810</td>\n",
       "      <td>110.463100</td>\n",
       "      <td>0.576300</td>\n",
       "      <td>242398.800000</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>Smooth Soul</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4402 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id_number            ars_name           rel_date  \\\n",
       "0             0           Radiohead       16 June 1997   \n",
       "1             1          Pink Floyd  12 September 1975   \n",
       "2             2        King Crimson    10 October 1969   \n",
       "3             3           Radiohead     3 October 2000   \n",
       "4             4      Kendrick Lamar      15 March 2015   \n",
       "...         ...                 ...                ...   \n",
       "4397       4397          John Hiatt           May 1987   \n",
       "4398       4398           Catharsis               1999   \n",
       "4399       4399            Gracious       17 July 1970   \n",
       "4400       4400  And Also the Trees   12 November 2007   \n",
       "4401       4401     Minnie Riperton        22 May 1975   \n",
       "\n",
       "                                                 gens  \\\n",
       "0                          Alternative Rock, Art Rock   \n",
       "1                          Progressive Rock, Art Rock   \n",
       "2                          Progressive Rock, Art Rock   \n",
       "3             Art Rock, Experimental Rock, Electronic   \n",
       "4     Conscious Hip Hop, West Coast Hip Hop, Jazz Rap   \n",
       "...                                               ...   \n",
       "4397         Singer/Songwriter, Roots Rock, Americana   \n",
       "4398                            Crust Punk, Metalcore   \n",
       "4399                 Progressive Rock, Symphonic Prog   \n",
       "4400                                         Art Rock   \n",
       "4401                            Smooth Soul, Pop Soul   \n",
       "\n",
       "                                                  descs  avg_rat  num_rat  \\\n",
       "0     melancholic, anxious, futuristic, alienation, ...     4.23   70.382   \n",
       "1     melancholic, atmospheric, progressive, male vo...     4.29   48.662   \n",
       "2     fantasy, epic, progressive, philosophical, com...     4.30   44.943   \n",
       "3     cold, melancholic, futuristic, atmospheric, an...     4.21   58.590   \n",
       "4     political, conscious, poetic, protest, concept...     4.27   44.206   \n",
       "...                                                 ...      ...      ...   \n",
       "4397  love, lethargic, lonely, existential, melodic,...     3.68  727.000   \n",
       "4398  male vocals, anarchism, aggressive, angry, hea...     3.65  616.000   \n",
       "4399                                   Progressive Rock     3.69  565.000   \n",
       "4400  atmospheric, poetic, dark, male vocals, ominou...     3.68  524.000   \n",
       "4401  lush, female vocals, romantic, uplifting, summ...     3.69  490.000   \n",
       "\n",
       "      num_revs                              album  acousticness  ...  \\\n",
       "0         1531                        OK Computer      0.135763  ...   \n",
       "1          983                 Wish You Were Here      0.602800  ...   \n",
       "2          870   In the Court of the Crimson King      0.297686  ...   \n",
       "3          734                              Kid A      0.123219  ...   \n",
       "4          379                To Pimp a Butterfly      0.322889  ...   \n",
       "...        ...                                ...           ...  ...   \n",
       "4397        37                   Bring the Family      0.286402  ...   \n",
       "4398         6                            Passion      0.156502  ...   \n",
       "4399        32                          Gracious!      0.075487  ...   \n",
       "4400        15  (Listen For) The Rag and Bone Man      0.417308  ...   \n",
       "4401        14             Adventures in Paradise      0.405390  ...   \n",
       "\n",
       "        energy  instrumentalness  liveness   loudness  speechiness  \\\n",
       "0     0.565917          0.161053  0.159375  -9.102417     0.056308   \n",
       "1     0.409800          0.363040  0.384940 -12.689400     0.039740   \n",
       "2     0.370475          0.327265  0.149138 -14.873125     0.043463   \n",
       "3     0.676706          0.000669  0.311412  -7.811941     0.268318   \n",
       "4     0.707625          0.000011  0.318419  -5.802062     0.294175   \n",
       "...        ...               ...       ...        ...          ...   \n",
       "4397  0.460700          0.001658  0.125710 -12.683700     0.030090   \n",
       "4398  0.621100          0.004154  0.250530  -6.659900     0.088560   \n",
       "4399  0.731000          0.000128  0.222845  -4.805273     0.049027   \n",
       "4400  0.458000          0.543231  0.127646 -13.088692     0.037354   \n",
       "4401  0.469300          0.073309  0.154910 -11.508600     0.048810   \n",
       "\n",
       "           tempo   valence    duration_ms  time_signature            nvalue1  \n",
       "0     115.450750  0.291733  268435.500000        4.000000   Alternative Rock  \n",
       "1     130.018800  0.259040  530512.000000        3.600000   Progressive Rock  \n",
       "2     118.920625  0.279400  507644.125000        3.875000   Progressive Rock  \n",
       "3     116.045059  0.398206  325379.529412        4.058824           Art Rock  \n",
       "4     103.444563  0.487187  296225.750000        3.812500  Conscious Hip Hop  \n",
       "...          ...       ...            ...             ...                ...  \n",
       "4397  106.136700  0.568300  273146.700000        4.000000  Singer/Songwriter  \n",
       "4398  127.249950  0.432750  202675.450000        3.950000         Crust Punk  \n",
       "4399  149.398818  0.622545  193269.454545        4.000000   Progressive Rock  \n",
       "4400  118.958923  0.252892  229115.846154        3.923077           Art Rock  \n",
       "4401  110.463100  0.576300  242398.800000        3.800000        Smooth Soul  \n",
       "\n",
       "[4402 rows x 21 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop('nvalue2', axis=1) # Deleting column 'nvalue2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "12f283ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Year'] = pd.to_datetime(df['rel_date']).dt.year     #Creating new column 'Year'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "6b351304",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id_number</th>\n",
       "      <th>ars_name</th>\n",
       "      <th>rel_date</th>\n",
       "      <th>gens</th>\n",
       "      <th>descs</th>\n",
       "      <th>avg_rat</th>\n",
       "      <th>num_rat</th>\n",
       "      <th>num_revs</th>\n",
       "      <th>album</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>...</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>valence</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>nvalue1</th>\n",
       "      <th>nvalue2</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>Radiohead</td>\n",
       "      <td>16 June 1997</td>\n",
       "      <td>Alternative Rock, Art Rock</td>\n",
       "      <td>melancholic, anxious, futuristic, alienation, ...</td>\n",
       "      <td>4.23</td>\n",
       "      <td>70.382</td>\n",
       "      <td>1531</td>\n",
       "      <td>OK Computer</td>\n",
       "      <td>0.135763</td>\n",
       "      <td>...</td>\n",
       "      <td>0.159375</td>\n",
       "      <td>-9.102417</td>\n",
       "      <td>0.056308</td>\n",
       "      <td>115.450750</td>\n",
       "      <td>0.291733</td>\n",
       "      <td>268435.500</td>\n",
       "      <td>4.000</td>\n",
       "      <td>Alternative Rock</td>\n",
       "      <td>Art Rock</td>\n",
       "      <td>1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>Pink Floyd</td>\n",
       "      <td>12 September 1975</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>melancholic, atmospheric, progressive, male vo...</td>\n",
       "      <td>4.29</td>\n",
       "      <td>48.662</td>\n",
       "      <td>983</td>\n",
       "      <td>Wish You Were Here</td>\n",
       "      <td>0.602800</td>\n",
       "      <td>...</td>\n",
       "      <td>0.384940</td>\n",
       "      <td>-12.689400</td>\n",
       "      <td>0.039740</td>\n",
       "      <td>130.018800</td>\n",
       "      <td>0.259040</td>\n",
       "      <td>530512.000</td>\n",
       "      <td>3.600</td>\n",
       "      <td>Progressive Rock</td>\n",
       "      <td>Art Rock</td>\n",
       "      <td>1975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>King Crimson</td>\n",
       "      <td>10 October 1969</td>\n",
       "      <td>Progressive Rock, Art Rock</td>\n",
       "      <td>fantasy, epic, progressive, philosophical, com...</td>\n",
       "      <td>4.30</td>\n",
       "      <td>44.943</td>\n",
       "      <td>870</td>\n",
       "      <td>In the Court of the Crimson King</td>\n",
       "      <td>0.297686</td>\n",
       "      <td>...</td>\n",
       "      <td>0.149138</td>\n",
       "      <td>-14.873125</td>\n",
       "      <td>0.043463</td>\n",
       "      <td>118.920625</td>\n",
       "      <td>0.279400</td>\n",
       "      <td>507644.125</td>\n",
       "      <td>3.875</td>\n",
       "      <td>Progressive Rock</td>\n",
       "      <td>Art Rock</td>\n",
       "      <td>1969</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id_number      ars_name           rel_date                        gens  \\\n",
       "0          0     Radiohead       16 June 1997  Alternative Rock, Art Rock   \n",
       "1          1    Pink Floyd  12 September 1975  Progressive Rock, Art Rock   \n",
       "2          2  King Crimson    10 October 1969  Progressive Rock, Art Rock   \n",
       "\n",
       "                                               descs  avg_rat  num_rat  \\\n",
       "0  melancholic, anxious, futuristic, alienation, ...     4.23   70.382   \n",
       "1  melancholic, atmospheric, progressive, male vo...     4.29   48.662   \n",
       "2  fantasy, epic, progressive, philosophical, com...     4.30   44.943   \n",
       "\n",
       "   num_revs                             album  acousticness  ...  liveness  \\\n",
       "0      1531                       OK Computer      0.135763  ...  0.159375   \n",
       "1       983                Wish You Were Here      0.602800  ...  0.384940   \n",
       "2       870  In the Court of the Crimson King      0.297686  ...  0.149138   \n",
       "\n",
       "    loudness  speechiness       tempo   valence  duration_ms  time_signature  \\\n",
       "0  -9.102417     0.056308  115.450750  0.291733   268435.500           4.000   \n",
       "1 -12.689400     0.039740  130.018800  0.259040   530512.000           3.600   \n",
       "2 -14.873125     0.043463  118.920625  0.279400   507644.125           3.875   \n",
       "\n",
       "            nvalue1    nvalue2  Year  \n",
       "0  Alternative Rock   Art Rock  1997  \n",
       "1  Progressive Rock   Art Rock  1975  \n",
       "2  Progressive Rock   Art Rock  1969  \n",
       "\n",
       "[3 rows x 23 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1487e080",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Year</th>\n",
       "      <th>Release_Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1947</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1951</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1952</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1953</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2017</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2018</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2019</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2020</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Release_Total\n",
       "0   1947              1\n",
       "1   1951              1\n",
       "2   1952              1\n",
       "3   1953              2\n",
       "4   1954              4\n",
       "..   ...            ...\n",
       "67  2017             41\n",
       "68  2018             32\n",
       "69  2019             22\n",
       "70  2020             28\n",
       "71  2021             19\n",
       "\n",
       "[72 rows x 2 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Year').agg(Release_Total=('Year', 'count')).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "6522f28e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Year</th>\n",
       "      <th>Release_Total</th>\n",
       "      <th>min_AVG_rating</th>\n",
       "      <th>max_AVG_rating</th>\n",
       "      <th>min_NUM_rat</th>\n",
       "      <th>max_NUM_rat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1947</td>\n",
       "      <td>1</td>\n",
       "      <td>3.73</td>\n",
       "      <td>3.73</td>\n",
       "      <td>371.000</td>\n",
       "      <td>371.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1951</td>\n",
       "      <td>1</td>\n",
       "      <td>3.74</td>\n",
       "      <td>3.74</td>\n",
       "      <td>944.000</td>\n",
       "      <td>944.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1952</td>\n",
       "      <td>1</td>\n",
       "      <td>3.88</td>\n",
       "      <td>3.88</td>\n",
       "      <td>521.000</td>\n",
       "      <td>521.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1953</td>\n",
       "      <td>2</td>\n",
       "      <td>3.71</td>\n",
       "      <td>3.83</td>\n",
       "      <td>1.425</td>\n",
       "      <td>909.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954</td>\n",
       "      <td>4</td>\n",
       "      <td>3.72</td>\n",
       "      <td>3.88</td>\n",
       "      <td>1.184</td>\n",
       "      <td>347.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2017</td>\n",
       "      <td>41</td>\n",
       "      <td>3.52</td>\n",
       "      <td>3.99</td>\n",
       "      <td>1.040</td>\n",
       "      <td>877.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2018</td>\n",
       "      <td>32</td>\n",
       "      <td>3.62</td>\n",
       "      <td>3.92</td>\n",
       "      <td>1.451</td>\n",
       "      <td>851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2019</td>\n",
       "      <td>22</td>\n",
       "      <td>3.64</td>\n",
       "      <td>3.91</td>\n",
       "      <td>1.865</td>\n",
       "      <td>659.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2020</td>\n",
       "      <td>28</td>\n",
       "      <td>3.62</td>\n",
       "      <td>3.82</td>\n",
       "      <td>1.965</td>\n",
       "      <td>667.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021</td>\n",
       "      <td>19</td>\n",
       "      <td>3.63</td>\n",
       "      <td>4.06</td>\n",
       "      <td>1.641</td>\n",
       "      <td>961.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>72 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Release_Total  min_AVG_rating  max_AVG_rating  min_NUM_rat  \\\n",
       "0   1947              1            3.73            3.73      371.000   \n",
       "1   1951              1            3.74            3.74      944.000   \n",
       "2   1952              1            3.88            3.88      521.000   \n",
       "3   1953              2            3.71            3.83        1.425   \n",
       "4   1954              4            3.72            3.88        1.184   \n",
       "..   ...            ...             ...             ...          ...   \n",
       "67  2017             41            3.52            3.99        1.040   \n",
       "68  2018             32            3.62            3.92        1.451   \n",
       "69  2019             22            3.64            3.91        1.865   \n",
       "70  2020             28            3.62            3.82        1.965   \n",
       "71  2021             19            3.63            4.06        1.641   \n",
       "\n",
       "    max_NUM_rat  \n",
       "0         371.0  \n",
       "1         944.0  \n",
       "2         521.0  \n",
       "3         909.0  \n",
       "4         347.0  \n",
       "..          ...  \n",
       "67        877.0  \n",
       "68        851.0  \n",
       "69        659.0  \n",
       "70        667.0  \n",
       "71        961.0  \n",
       "\n",
       "[72 rows x 6 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Year').agg(Release_Total=('Year', 'count'),min_AVG_rating=('avg_rat','min'),max_AVG_rating=('avg_rat', 'max'),min_NUM_rat=('num_rat','min'),max_NUM_rat=('num_rat','max')).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3fb62a14",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1584x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(22,5))\n",
    "chart = sns.countplot(x='Year', data = df, palette='GnBu')\n",
    "plt.xticks(\n",
    "    rotation=45, \n",
    "    horizontalalignment='right',   #escaping overlapping\n",
    "    fontweight='light')\n",
    "\n",
    "None   # don't show the label objects"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5078c252",
   "metadata": {},
   "source": [
    "###  The most number of Albums of All Times were released in the years 1971, 1972 and 1973."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7f32ef15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(22,5))\n",
    "chart = sns.countplot(x='nvalue1', data = df[df['Year'].isin([1971])], palette='OrRd')\n",
    "plt.xticks(\n",
    "    rotation=45, \n",
    "    horizontalalignment='right',\n",
    "    fontweight='light')\n",
    "chart.set(xlabel='Genre')\n",
    "\n",
    "None "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b7dc9b8",
   "metadata": {},
   "source": [
    "###  Y1971, top 3 the most popular genres were Progressive Rock, Hard Rock, and Blues Rock."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3cc0684f",
   "metadata": {},
   "outputs": [],
   "source": [
    "by_genre = (df\n",
    "            .groupby('nvalue1')\n",
    "            .filter(lambda x : len(x) > 20) # filtering more than 20 albums\n",
    "            .groupby(['nvalue1', 'Year'])\n",
    "            .size()\n",
    "            .unstack()\n",
    "           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d71b50fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,20))\n",
    "hmap = sns.heatmap(\n",
    "    by_genre, \n",
    "    square=True, # make cells square\n",
    "    cbar_kws={'fraction' : 0.01}, # shrink colour bar\n",
    "    cmap='PuRd', # use purple/red colour map\n",
    "    linewidth=1 # space between cells\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "340963e2",
   "metadata": {},
   "source": [
    "### The first most popular genre was Hard Bop, from Y1957 till Y1965.\n",
    "### Progressive Rock was popular from Y1970 till Y1977.\n",
    "### In Y1977 Punk Rock and Art Pop were popular as well.\n",
    "### In last 10 years non of genres is most popular."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c96675d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1584x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(22,5))\n",
    "chart = sns.scatterplot(x = 'nvalue1', y = 'avg_rat', data = df[df['Year'].isin([1971])])\n",
    "plt.xticks(\n",
    "    rotation=90, \n",
    "    horizontalalignment='right',\n",
    "    fontweight='light')\n",
    "chart.set(xlabel='Genre')\n",
    "chart.set(ylabel='Average Rating')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}