Spotify Analysis.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spotify Top 100 Songs of 2010-2019\n",
    "\n",
    "Today we are using a big dataset about music! People say you can't live without music so do I, and also I've been recently learning data analysis with python https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas so I'm using different types of tools such as pandas, numpy and matplotlib to have a look on this dataset. Hope you enjoy it!"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How to run the code\n",
    "\n",
    "This is an executable [*Jupyter notebook*](https://jupyter.org) hosted on [Jovian.ml](https://www.jovian.ml), a platform for sharing data science projects. You can run and experiment with the code in a couple of ways: *using free online resources* (recommended) or *on your own computer*.\n",
    "\n",
    "#### Option 1: Running using free online resources (1-click, recommended)\n",
    "\n",
    "The easiest way to start executing this notebook is to click the \"Run\" button at the top of this page, and select \"Run on Binder\". This will run the notebook on [mybinder.org](https://mybinder.org), a free online service for running Jupyter notebooks. You can also select \"Run on Colab\" or \"Run on Kaggle\".\n",
    "\n",
    "\n",
    "#### Option 2: Running on your computer locally\n",
    "\n",
    "1. Install Conda by [following these instructions](https://conda.io/projects/conda/en/latest/user-guide/install/index.html). Add Conda binaries to your system `PATH`, so you can use the `conda` command on your terminal.\n",
    "\n",
    "2. Create a Conda environment and install the required libraries by running these commands on the terminal:\n",
    "\n",
    "```\n",
    "conda create -n zerotopandas -y python=3.8 \n",
    "conda activate zerotopandas\n",
    "pip install jovian jupyter numpy pandas matplotlib seaborn opendatasets --upgrade\n",
    "```\n",
    "\n",
    "3. Press the \"Clone\" button above to copy the command for downloading the notebook, and run it on the terminal. This will create a new directory and download the notebook. The command will look something like this:\n",
    "\n",
    "```\n",
    "jovian clone notebook-owner/notebook-id\n",
    "```\n",
    "\n",
    "\n",
    "\n",
    "4. Enter the newly created directory using `cd directory-name` and start the Jupyter notebook.\n",
    "\n",
    "```\n",
    "jupyter notebook\n",
    "```\n",
    "\n",
    "You can now access Jupyter's web interface by clicking the link that shows up on the terminal or by visiting http://localhost:8888 on your browser. Click on the notebook file (it has a `.ipynb` extension) to open it.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Downloading the Dataset\n",
    "\n",
    "To download data set I'm using opendatasets in python and I got my url from https://www.kaggle.com/datasets?fileType=csv using the following codes!"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Instructions for downloading the dataset (delete this cell)\n",
    ">\n",
    "> - Find an interesting dataset on this page: https://www.kaggle.com/datasets?fileType=csv\n",
    "> - The data should be in CSV format, and should contain at least 3 columns and 150 rows\n",
    "> - Download the dataset using the [`opendatasets` Python library](https://github.com/JovianML/opendatasets#opendatasets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install jovian opendatasets --upgrade --quiet"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin by downloading the data, and listing the files within the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "dataset_url = 'https://www.kaggle.com/datasets/muhmores/spotify-top-100-songs-of-20152019' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skipping, found downloaded files in \"./spotify-top-100-songs-of-20152019\" (use force=True to force download)\n"
     ]
    }
   ],
   "source": [
    "import opendatasets as od\n",
    "od.download(dataset_url)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset has been downloaded and extracted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change this\n",
    "data_dir = './spotify-top-100-songs-of-20152019'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Spotify 2010 - 2019 Top 100 Songs.xlsx', 'Spotify 2010 - 2019 Top 100.csv']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.listdir(data_dir)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us save and upload our work to Jovian before continuing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "project_name = \"zerotopandas-course-project-hosein_mirhoseini\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install jovian --upgrade -q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[jovian] Updating notebook \"hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\" on https://jovian.ai\u001b[0m\n",
      "[jovian] Committed successfully! https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jovian.commit(project=project_name)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation and Cleaning\n",
    "\n",
    "Let's load the CSV files using the Pandas library. We'll use the name spotify_raw_df for the data frame to indicate this is unprocessed data that we might clean, filter, and modify to prepare a data frame ready for analysis.\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Instructions (delete this cell):\n",
    ">\n",
    "> - Load the dataset into a data frame using Pandas\n",
    "> - Explore the number of rows & columns, ranges of values etc.\n",
    "> - Handle missing, incorrect and invalid data\n",
    "> - Perform any additional steps (parsing dates, creating additional columns, merging multiple dataset etc.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "spotify_raw_df = pd.read_csv('spotify-top-100-songs-of-20152019/Spotify 2010 - 2019 Top 100.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>artist</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>added</th>\n",
       "      <th>bpm</th>\n",
       "      <th>nrgy</th>\n",
       "      <th>dnce</th>\n",
       "      <th>dB</th>\n",
       "      <th>live</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>acous</th>\n",
       "      <th>spch</th>\n",
       "      <th>pop</th>\n",
       "      <th>top year</th>\n",
       "      <th>artist type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>STARSTRUKK (feat. Katy Perry)</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>2022‑02‑17</td>\n",
       "      <td>140.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>2022‑02‑17</td>\n",
       "      <td>138.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>2022‑02‑17</td>\n",
       "      <td>95.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>2022‑02‑17</td>\n",
       "      <td>93.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>2022‑02‑17</td>\n",
       "      <td>104.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2020‑08‑20</td>\n",
       "      <td>138.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>2020‑06‑22</td>\n",
       "      <td>98.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1003 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title            artist  \\\n",
       "0                     STARSTRUKK (feat. Katy Perry)             3OH!3   \n",
       "1                       My First Kiss (feat. Ke$ha)             3OH!3   \n",
       "2                                   I Need A Dollar        Aloe Blacc   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)             B.o.B   \n",
       "4                 Nothin' on You (feat. Bruno Mars)             B.o.B   \n",
       "...                                             ...               ...   \n",
       "998                     Strike a Pose (feat. Aitch)  Young T & Bugsey   \n",
       "999       The London (feat. J. Cole & Travis Scott)        Young Thug   \n",
       "1000                                            NaN               NaN   \n",
       "1001                                            NaN               NaN   \n",
       "1002                                            NaN               NaN   \n",
       "\n",
       "        top genre  year released       added    bpm  nrgy  dnce   dB  live  \\\n",
       "0       dance pop         2009.0  2022‑02‑17  140.0  81.0  61.0 -6.0  23.0   \n",
       "1       dance pop         2010.0  2022‑02‑17  138.0  89.0  68.0 -4.0  36.0   \n",
       "2        pop soul         2010.0  2022‑02‑17   95.0  48.0  84.0 -7.0   9.0   \n",
       "3     atl hip hop         2010.0  2022‑02‑17   93.0  87.0  66.0 -4.0   4.0   \n",
       "4     atl hip hop         2010.0  2022‑02‑17  104.0  85.0  69.0 -6.0   9.0   \n",
       "...           ...            ...         ...    ...   ...   ...  ...   ...   \n",
       "998     afroswing         2019.0  2020‑08‑20  138.0  58.0  53.0 -6.0  10.0   \n",
       "999   atl hip hop         2019.0  2020‑06‑22   98.0  59.0  80.0 -7.0  13.0   \n",
       "1000          NaN            NaN         NaN    NaN   NaN   NaN  NaN   NaN   \n",
       "1001          NaN            NaN         NaN    NaN   NaN   NaN  NaN   NaN   \n",
       "1002          NaN            NaN         NaN    NaN   NaN   NaN  NaN   NaN   \n",
       "\n",
       "       val    dur  acous  spch   pop  top year artist type  \n",
       "0     23.0  203.0    0.0   6.0  70.0    2010.0         Duo  \n",
       "1     83.0  192.0    1.0   8.0  68.0    2010.0         Duo  \n",
       "2     96.0  243.0   20.0   3.0  72.0    2010.0        Solo  \n",
       "3     38.0  180.0   11.0  12.0  80.0    2010.0        Solo  \n",
       "4     74.0  268.0   39.0   5.0  79.0    2010.0        Solo  \n",
       "...    ...    ...    ...   ...   ...       ...         ...  \n",
       "998   59.0  214.0    1.0  10.0  67.0    2019.0         Duo  \n",
       "999   18.0  200.0    2.0  15.0  75.0    2019.0        Solo  \n",
       "1000   NaN    NaN    NaN   NaN   NaN       NaN         NaN  \n",
       "1001   NaN    NaN    NaN   NaN   NaN       NaN         NaN  \n",
       "1002   NaN    NaN    NaN   NaN   NaN       NaN         NaN  \n",
       "\n",
       "[1003 rows x 17 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_raw_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(spotify_raw_df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "code_folding": []
   },
   "outputs": [],
   "source": [
    "selected_cloumns = [\n",
    "    #song_info\n",
    "    'title',\n",
    "    'top genre',\n",
    "    'year released',\n",
    "    'artist type',\n",
    "    'artist',\n",
    "    'bpm',\n",
    "    'dB',\n",
    "    'val',\n",
    "    'dur',\n",
    "    'nrgy'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "spotify_df = spotify_raw_df[selected_cloumns].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>STARSTRUKK (feat. Katy Perry)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2009.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>140.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>203.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1003 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "0                     STARSTRUKK (feat. Katy Perry)    dance pop   \n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "0            2009.0         Duo             3OH!3  140.0 -6.0  23.0  203.0   \n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "0     81.0  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[1003 rows x 10 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1003, 10)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1003 entries, 0 to 1002\n",
      "Data columns (total 10 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   title          1000 non-null   object \n",
      " 1   top genre      1000 non-null   object \n",
      " 2   year released  1000 non-null   float64\n",
      " 3   artist type    1000 non-null   object \n",
      " 4   artist         1000 non-null   object \n",
      " 5   bpm            1000 non-null   float64\n",
      " 6   dB             1000 non-null   float64\n",
      " 7   val            1000 non-null   float64\n",
      " 8   dur            1000 non-null   float64\n",
      " 9   nrgy           1000 non-null   float64\n",
      "dtypes: float64(6), object(4)\n",
      "memory usage: 78.5+ KB\n"
     ]
    }
   ],
   "source": [
    "spotify_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year released</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2014.390000</td>\n",
       "      <td>121.262000</td>\n",
       "      <td>-5.663000</td>\n",
       "      <td>50.901000</td>\n",
       "      <td>220.406000</td>\n",
       "      <td>69.502000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.241359</td>\n",
       "      <td>26.238022</td>\n",
       "      <td>2.025224</td>\n",
       "      <td>21.563399</td>\n",
       "      <td>39.927677</td>\n",
       "      <td>15.961415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1975.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>-18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2012.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>-7.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>50.500000</td>\n",
       "      <td>216.000000</td>\n",
       "      <td>71.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>237.000000</td>\n",
       "      <td>81.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2021.000000</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>688.000000</td>\n",
       "      <td>98.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       year released          bpm           dB          val          dur  \\\n",
       "count    1000.000000  1000.000000  1000.000000  1000.000000  1000.000000   \n",
       "mean     2014.390000   121.262000    -5.663000    50.901000   220.406000   \n",
       "std         3.241359    26.238022     2.025224    21.563399    39.927677   \n",
       "min      1975.000000    65.000000   -18.000000     4.000000   113.000000   \n",
       "25%      2012.000000   100.000000    -7.000000    35.000000   197.000000   \n",
       "50%      2014.000000   122.000000    -5.000000    50.500000   216.000000   \n",
       "75%      2017.000000   134.000000    -4.000000    68.000000   237.000000   \n",
       "max      2021.000000   206.000000    -1.000000    97.000000   688.000000   \n",
       "\n",
       "              nrgy  \n",
       "count  1000.000000  \n",
       "mean     69.502000  \n",
       "std      15.961415  \n",
       "min       6.000000  \n",
       "25%      59.000000  \n",
       "50%      71.000000  \n",
       "75%      81.250000  \n",
       "max      98.000000  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "spotify_df.drop(spotify_df[spotify_df['year released'] < 2010].index, inplace = True)\n",
    "spotify_df.drop(spotify_df[spotify_df['year released'] > 2019].index, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year released</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>966.000000</td>\n",
       "      <td>966.000000</td>\n",
       "      <td>966.000000</td>\n",
       "      <td>966.000000</td>\n",
       "      <td>966.000000</td>\n",
       "      <td>966.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2014.509317</td>\n",
       "      <td>121.216356</td>\n",
       "      <td>-5.661491</td>\n",
       "      <td>50.865424</td>\n",
       "      <td>219.897516</td>\n",
       "      <td>69.477226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.863640</td>\n",
       "      <td>26.231291</td>\n",
       "      <td>2.030929</td>\n",
       "      <td>21.520842</td>\n",
       "      <td>39.673288</td>\n",
       "      <td>16.024172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2010.000000</td>\n",
       "      <td>65.000000</td>\n",
       "      <td>-18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>113.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2012.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>-7.000000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014.500000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>216.000000</td>\n",
       "      <td>72.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2017.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>-4.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>236.000000</td>\n",
       "      <td>82.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019.000000</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>688.000000</td>\n",
       "      <td>98.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       year released         bpm          dB         val         dur  \\\n",
       "count     966.000000  966.000000  966.000000  966.000000  966.000000   \n",
       "mean     2014.509317  121.216356   -5.661491   50.865424  219.897516   \n",
       "std         2.863640   26.231291    2.030929   21.520842   39.673288   \n",
       "min      2010.000000   65.000000  -18.000000    4.000000  113.000000   \n",
       "25%      2012.000000  100.000000   -7.000000   35.000000  197.000000   \n",
       "50%      2014.500000  122.000000   -5.000000   51.000000  216.000000   \n",
       "75%      2017.000000  134.000000   -4.000000   67.000000  236.000000   \n",
       "max      2019.000000  206.000000   -1.000000   97.000000  688.000000   \n",
       "\n",
       "             nrgy  \n",
       "count  966.000000  \n",
       "mean    69.477226  \n",
       "std     16.024172  \n",
       "min      6.000000  \n",
       "25%     59.000000  \n",
       "50%     72.000000  \n",
       "75%     82.000000  \n",
       "max     98.000000  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(969, 10)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part first we loaded data frame using pandas and then we select 10 important columns to make analysis easier.\n",
    "Then we looked at the 'year released' column and considered that there are some songs out of the year range so we dropped them and now our data is clean to continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[jovian] Updating notebook \"hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\" on https://jovian.ai\u001b[0m\n",
      "[jovian] Committed successfully! https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jovian.commit()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis and Visualization\n",
    "\n",
    "Before we ask questions about the spotify data, it would help to understand data using charts for different columns. It's essential to explore these variables to understand how representative the survey is of the worldwide programming community.\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Instructions (delete this cell)\n",
    "> \n",
    "> - Compute the mean, sum, range and other interesting statistics for numeric columns\n",
    "> - Explore distributions of numeric columns using histograms etc.\n",
    "> - Explore relationship between columns using scatter plots, bar charts etc.\n",
    "> - Make a note of interesting insights from the exploratory analysis"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's begin by importing`matplotlib.pyplot` and `seaborn`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style('darkgrid')\n",
    "matplotlib.rcParams['font.size'] = 14\n",
    "matplotlib.rcParams['figure.figsize'] = (9, 5)\n",
    "matplotlib.rcParams['figure.facecolor'] = '#00000000'"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most popular genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "128"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df['top genre'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dance pop               349\n",
       "pop                      57\n",
       "atl hip hop              39\n",
       "art pop                  33\n",
       "hip hop                  21\n",
       "boy band                 20\n",
       "canadian hip hop         18\n",
       "edm                      17\n",
       "folk-pop                 15\n",
       "conscious hip hop        14\n",
       "contemporary country     14\n",
       "chicago rap              13\n",
       "modern rock              13\n",
       "canadian pop             13\n",
       "barbadian pop            12\n",
       "Name: top genre, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_genres = spotify_df['top genre'].value_counts().head(15)\n",
    "top_genres"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.xticks(rotation=75)\n",
    "plt.title(\"Most popular genres\")\n",
    "sns.barplot(x=top_genres.index, y=top_genres);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using a bar plot we were able to see that dance pop is by far the most popular genre among the genres. After that stands pop so we can realize that pop musics are really popular and maybe it is the reason that they are called pop!"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Duration\n",
    "\n",
    "we want to see what is the relation between duration of song and popularity!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "plt.title(\"Song durations\")\n",
    "plt.xlabel('Durations in minutes')\n",
    "plt.ylabel('Number of songs')\n",
    "\n",
    "plt.hist(spotify_df['dur']/60, bins=5, color='blue');"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seeing this chart we can realize that songs between 2 - 4 minutes are mostly listened. Also we can realize that people don't like long musics! "
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Artist type\n",
    "we want to see what is the variety of songs based on artist type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Solo          723\n",
       "Band/Group    162\n",
       "Duo            68\n",
       "Trio           13\n",
       "Name: artist type, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type_count = spotify_df['artist type'].value_counts()\n",
    "type_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.title(\"Artis types\")\n",
    "plt.pie(type_count, labels=type_count.index, autopct='%1.1f%%', startangle=180);"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only 1.3% of songs are Trios, so if your music band is made out of three people, It's bad news. However if you're singing alone, then I suggest that you keep working because 74.8% of songs are Solos. Also Bad/Groups are really popular todays and we can see that they are more popular than Duets or Trios!"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Artist** -\n",
    "Top 5 artist with most songs!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Taylor Swift     21\n",
       "Calvin Harris    18\n",
       "Drake            18\n",
       "Ariana Grande    14\n",
       "Bruno Mars       13\n",
       "Name: artist, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artist_counts = spotify_df.artist.value_counts().head(5)\n",
    "artist_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title(\"Artists with most songs\")\n",
    "plt.xlabel('Singer')\n",
    "plt.ylabel('Number of songs')\n",
    "plt.bar(artist_counts.index, artist_counts)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can imagine Taylor Swift has the most songs! "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[jovian] Updating notebook \"hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\" on https://jovian.ai\u001b[0m\n",
      "[jovian] Committed successfully! https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://jovian.ai/hoseinmirhoseini64/zerotopandas-course-project-hosein-mirhoseini'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jovian.commit()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Asking and Answering Questions\n",
    "\n",
    "let's answer some questions.\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Instructions (delete this cell)\n",
    ">\n",
    "> - Ask at least 5 interesting questions about your dataset\n",
    "> - Answer the questions either by computing the results using Numpy/Pandas or by plotting graphs using Matplotlib/Seaborn\n",
    "> - Create new columns, merge multiple dataset and perform grouping/aggregation wherever necessary\n",
    "> - Wherever you're using a library function from Pandas/Numpy/Matplotlib etc. explain briefly what it does\n",
    "\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q1: Which band has the most songs?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Duo', 'Solo', 'Band/Group', 'Trio', nan], dtype=object)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df['artist type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>The Time (Dirty Bit)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Black Eyed Peas</td>\n",
       "      <td>128.0</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>308.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Teach Me How to Dougie</td>\n",
       "      <td>pop rap</td>\n",
       "      <td>2011.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Cali Swag District</td>\n",
       "      <td>85.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>237.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Like A G6</td>\n",
       "      <td>asian american hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Far East Movement</td>\n",
       "      <td>125.0</td>\n",
       "      <td>-8.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Misery</td>\n",
       "      <td>pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Maroon 5</td>\n",
       "      <td>103.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>216.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Animal</td>\n",
       "      <td>modern alternative rock</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Neon Trees</td>\n",
       "      <td>148.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>212.0</td>\n",
       "      <td>83.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>921</th>\n",
       "      <td>Boy With Luv (feat. Halsey)</td>\n",
       "      <td>k-pop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>BTS</td>\n",
       "      <td>120.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>Sucker</td>\n",
       "      <td>boy band</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Jonas Brothers</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>181.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>Only Human</td>\n",
       "      <td>boy band</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Jonas Brothers</td>\n",
       "      <td>94.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>183.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>Piece Of Your Heart</td>\n",
       "      <td>edm</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>MEDUZA</td>\n",
       "      <td>124.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>High Hopes</td>\n",
       "      <td>modern rock</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>Panic! At The Disco</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           title                top genre  year released  \\\n",
       "6           The Time (Dirty Bit)                dance pop         2010.0   \n",
       "10        Teach Me How to Dougie                  pop rap         2011.0   \n",
       "26                     Like A G6   asian american hip hop         2010.0   \n",
       "54                        Misery                      pop         2010.0   \n",
       "58                        Animal  modern alternative rock         2010.0   \n",
       "..                           ...                      ...            ...   \n",
       "921  Boy With Luv (feat. Halsey)                    k-pop         2019.0   \n",
       "941                       Sucker                 boy band         2019.0   \n",
       "942                   Only Human                 boy band         2019.0   \n",
       "965          Piece Of Your Heart                      edm         2019.0   \n",
       "974                   High Hopes              modern rock         2018.0   \n",
       "\n",
       "    artist type               artist    bpm   dB   val    dur  nrgy  \n",
       "6    Band/Group      Black Eyed Peas  128.0 -8.0  44.0  308.0  81.0  \n",
       "10   Band/Group   Cali Swag District   85.0 -5.0  51.0  237.0  44.0  \n",
       "26   Band/Group    Far East Movement  125.0 -8.0  78.0  217.0  84.0  \n",
       "54   Band/Group             Maroon 5  103.0 -5.0  73.0  216.0  81.0  \n",
       "58   Band/Group           Neon Trees  148.0 -6.0  74.0  212.0  83.0  \n",
       "..          ...                  ...    ...  ...   ...    ...   ...  \n",
       "921  Band/Group                  BTS  120.0 -5.0  80.0  230.0  86.0  \n",
       "941  Band/Group       Jonas Brothers  138.0 -5.0  95.0  181.0  73.0  \n",
       "942  Band/Group       Jonas Brothers   94.0 -6.0  87.0  183.0  50.0  \n",
       "965  Band/Group               MEDUZA  124.0 -7.0  63.0  153.0  74.0  \n",
       "974  Band/Group  Panic! At The Disco   82.0 -3.0  68.0  191.0  90.0  \n",
       "\n",
       "[162 rows x 10 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bands = spotify_df[spotify_df['artist type'] == 'Band/Group']\n",
    "bands"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Maroon 5    11\n",
       "Name: artist, dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bands.artist.value_counts().head(1)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see the band Maroon 5 has the most songs! To see more about this band: https://www.maroon5.com/"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q2:  - What songs should you listen when you need energy!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "energy_songs = spotify_df.sort_values('nrgy', ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "312                                 Get Up (Rattle)\n",
       "88         Written in the Stars (feat. Eric Turner)\n",
       "284                         Bangarang (feat. Sirah)\n",
       "422                  Bad (feat. Vassy) - Radio Edit\n",
       "254                                    BURN IT DOWN\n",
       "116               Bounce (feat. Kelis) - Radio Edit\n",
       "475                            Timber (feat. Ke$ha)\n",
       "380                Don't Stop the Party (feat. TJR)\n",
       "225                            Hot Right Now - Edit\n",
       "230    Spectrum (Say My Name) - Calvin Harris Remix\n",
       "Name: title, dtype: object"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "energy_songs.title"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So here it is. I gave you a list of songs when you need energy! Go have fun (:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q3:Which artists have the most loud musics?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we have a value called dB which can help us to figure out how loud a song is! Let's take a look at"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    966.000000\n",
       "mean      -5.661491\n",
       "std        2.030929\n",
       "min      -18.000000\n",
       "25%       -7.000000\n",
       "50%       -5.000000\n",
       "75%       -4.000000\n",
       "max       -1.000000\n",
       "Name: dB, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df.dB.describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK! The mean is -5.6 so any songs above that should be loud!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Talking to the Moon</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Bruno Mars</td>\n",
       "      <td>146.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>218.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Just the Way You Are</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Bruno Mars</td>\n",
       "      <td>109.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>Otro Trago</td>\n",
       "      <td>latin</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Sech</td>\n",
       "      <td>176.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>If I Can't Have You</td>\n",
       "      <td>canadian pop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Shawn Mendes</td>\n",
       "      <td>124.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>191.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>Don’t Feel Like Crying</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Sigrid</td>\n",
       "      <td>120.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>81.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>SICKO MODE</td>\n",
       "      <td>hip hop</td>\n",
       "      <td>2018.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Travis Scott</td>\n",
       "      <td>155.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>313.0</td>\n",
       "      <td>73.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>Boasty (feat. Idris Elba)</td>\n",
       "      <td>grime</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Wiley</td>\n",
       "      <td>103.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>177.0</td>\n",
       "      <td>77.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>496 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             title     top genre  \\\n",
       "1                      My First Kiss (feat. Ke$ha)     dance pop   \n",
       "3    Airplanes (feat. Hayley Williams of Paramore)   atl hip hop   \n",
       "5                       Magic (feat. Rivers Cuomo)   atl hip hop   \n",
       "8                              Talking to the Moon     dance pop   \n",
       "9                             Just the Way You Are     dance pop   \n",
       "..                                             ...           ...   \n",
       "987                                     Otro Trago         latin   \n",
       "989                            If I Can't Have You  canadian pop   \n",
       "990                         Don’t Feel Like Crying     dance pop   \n",
       "995                                     SICKO MODE       hip hop   \n",
       "997                      Boasty (feat. Idris Elba)         grime   \n",
       "\n",
       "     year released artist type        artist    bpm   dB   val    dur  nrgy  \n",
       "1           2010.0         Duo         3OH!3  138.0 -4.0  83.0  192.0  89.0  \n",
       "3           2010.0        Solo         B.o.B   93.0 -4.0  38.0  180.0  87.0  \n",
       "5           2010.0        Solo         B.o.B   82.0 -4.0  79.0  196.0  93.0  \n",
       "8           2010.0        Solo    Bruno Mars  146.0 -5.0   8.0  218.0  59.0  \n",
       "9           2010.0        Solo    Bruno Mars  109.0 -5.0  42.0  221.0  84.0  \n",
       "..             ...         ...           ...    ...  ...   ...    ...   ...  \n",
       "987         2019.0        Solo          Sech  176.0 -5.0  62.0  226.0  70.0  \n",
       "989         2019.0        Solo  Shawn Mendes  124.0 -4.0  86.0  191.0  81.0  \n",
       "990         2019.0        Solo        Sigrid  120.0 -4.0  72.0  157.0  81.0  \n",
       "995         2018.0        Solo  Travis Scott  155.0 -4.0  45.0  313.0  73.0  \n",
       "997         2019.0        Solo         Wiley  103.0 -5.0  46.0  177.0  77.0  \n",
       "\n",
       "[496 rows x 10 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loud_musics = spotify_df[spotify_df.dB > -5.6]\n",
    "loud_musics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Calvin Harris    18\n",
       "Bruno Mars       10\n",
       "Kesha             8\n",
       "Ariana Grande     8\n",
       "Rihanna           8\n",
       "David Guetta      7\n",
       "Katy Perry        7\n",
       "Marshmello        7\n",
       "One Direction     6\n",
       "Chris Brown       6\n",
       "Name: artist, dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loud_musics.artist.value_counts().head(10)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here it is. So if you like loud musics I recommend Calvin Harris and Bruno mars"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q4:What should you listen if you want to listen to positive mood songs from 2012?"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So we have a value called 'val' which shows us how positive the mood of the song is"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>My First Kiss (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>3OH!3</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>89.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>I Need A Dollar</td>\n",
       "      <td>pop soul</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Aloe Blacc</td>\n",
       "      <td>95.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>243.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airplanes (feat. Hayley Williams of Paramore)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>93.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Nothin' on You (feat. Bruno Mars)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>104.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>268.0</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Magic (feat. Rivers Cuomo)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2010.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>B.o.B</td>\n",
       "      <td>82.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>Strike a Pose (feat. Aitch)</td>\n",
       "      <td>afroswing</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>Young T &amp; Bugsey</td>\n",
       "      <td>138.0</td>\n",
       "      <td>-6.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>The London (feat. J. Cole &amp; Travis Scott)</td>\n",
       "      <td>atl hip hop</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Young Thug</td>\n",
       "      <td>98.0</td>\n",
       "      <td>-7.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>969 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              title    top genre  \\\n",
       "1                       My First Kiss (feat. Ke$ha)    dance pop   \n",
       "2                                   I Need A Dollar     pop soul   \n",
       "3     Airplanes (feat. Hayley Williams of Paramore)  atl hip hop   \n",
       "4                 Nothin' on You (feat. Bruno Mars)  atl hip hop   \n",
       "5                        Magic (feat. Rivers Cuomo)  atl hip hop   \n",
       "...                                             ...          ...   \n",
       "998                     Strike a Pose (feat. Aitch)    afroswing   \n",
       "999       The London (feat. J. Cole & Travis Scott)  atl hip hop   \n",
       "1000                                            NaN          NaN   \n",
       "1001                                            NaN          NaN   \n",
       "1002                                            NaN          NaN   \n",
       "\n",
       "      year released artist type            artist    bpm   dB   val    dur  \\\n",
       "1            2010.0         Duo             3OH!3  138.0 -4.0  83.0  192.0   \n",
       "2            2010.0        Solo        Aloe Blacc   95.0 -7.0  96.0  243.0   \n",
       "3            2010.0        Solo             B.o.B   93.0 -4.0  38.0  180.0   \n",
       "4            2010.0        Solo             B.o.B  104.0 -6.0  74.0  268.0   \n",
       "5            2010.0        Solo             B.o.B   82.0 -4.0  79.0  196.0   \n",
       "...             ...         ...               ...    ...  ...   ...    ...   \n",
       "998          2019.0         Duo  Young T & Bugsey  138.0 -6.0  59.0  214.0   \n",
       "999          2019.0        Solo        Young Thug   98.0 -7.0  18.0  200.0   \n",
       "1000            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1001            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "1002            NaN         NaN               NaN    NaN  NaN   NaN    NaN   \n",
       "\n",
       "      nrgy  \n",
       "1     89.0  \n",
       "2     48.0  \n",
       "3     87.0  \n",
       "4     85.0  \n",
       "5     93.0  \n",
       "...    ...  \n",
       "998   58.0  \n",
       "999   59.0  \n",
       "1000   NaN  \n",
       "1001   NaN  \n",
       "1002   NaN  \n",
       "\n",
       "[969 rows x 10 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spotify_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>top genre</th>\n",
       "      <th>year released</th>\n",
       "      <th>artist type</th>\n",
       "      <th>artist</th>\n",
       "      <th>bpm</th>\n",
       "      <th>dB</th>\n",
       "      <th>val</th>\n",
       "      <th>dur</th>\n",
       "      <th>nrgy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>California Gurls</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Katy Perry</td>\n",
       "      <td>125.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>235.0</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Bounce (feat. Kelis) - Radio Edit</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Calvin Harris</td>\n",
       "      <td>128.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Louder</td>\n",
       "      <td>dancefloor dnb</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>DJ Fresh</td>\n",
       "      <td>140.0</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Last Friday Night (T.G.I.F.)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Katy Perry</td>\n",
       "      <td>126.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>231.0</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>E.T.</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Katy Perry</td>\n",
       "      <td>152.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>230.0</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Ho Hey</td>\n",
       "      <td>folk-pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Band/Group</td>\n",
       "      <td>The Lumineers</td>\n",
       "      <td>80.0</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>163.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>Clarity</td>\n",
       "      <td>complextro</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Zedd</td>\n",
       "      <td>128.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>78.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>Classic</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Duo</td>\n",
       "      <td>MKTO</td>\n",
       "      <td>102.0</td>\n",
       "      <td>-5.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>175.0</td>\n",
       "      <td>79.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>Timber (feat. Ke$ha)</td>\n",
       "      <td>dance pop</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Pitbull</td>\n",
       "      <td>130.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>Stay The Night - Featuring Hayley Williams Of ...</td>\n",
       "      <td>complextro</td>\n",
       "      <td>2012.0</td>\n",
       "      <td>Solo</td>\n",
       "      <td>Zedd</td>\n",
       "      <td>128.0</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>109 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 title       top genre  \\\n",
       "39                                    California Gurls       dance pop   \n",
       "116                  Bounce (feat. Kelis) - Radio Edit       dance pop   \n",
       "129                                             Louder  dancefloor dnb   \n",
       "152                       Last Friday Night (T.G.I.F.)       dance pop   \n",
       "154                                               E.T.       dance pop   \n",
       "..                                                 ...             ...   \n",
       "391                                             Ho Hey        folk-pop   \n",
       "399                                            Clarity      complextro   \n",
       "457                                            Classic       dance pop   \n",
       "475                               Timber (feat. Ke$ha)       dance pop   \n",
       "498  Stay The Night - Featuring Hayley Williams Of ...      complextro   \n",
       "\n",
       "     year released artist type         artist    bpm   dB   val    dur  nrgy  \n",
       "39          2012.0        Solo     Katy Perry  125.0 -4.0  43.0  235.0  75.0  \n",
       "116         2012.0        Solo  Calvin Harris  128.0 -2.0  76.0  222.0  96.0  \n",
       "129         2012.0        Solo       DJ Fresh  140.0 -1.0  48.0  207.0  93.0  \n",
       "152         2012.0        Solo     Katy Perry  126.0 -4.0  77.0  231.0  82.0  \n",
       "154         2012.0        Solo     Katy Perry  152.0 -5.0  76.0  230.0  87.0  \n",
       "..             ...         ...            ...    ...  ...   ...    ...   ...  \n",
       "391         2012.0  Band/Group  The Lumineers   80.0 -9.0  35.0  163.0  47.0  \n",
       "399         2012.0        Solo           Zedd  128.0 -3.0  18.0  271.0  78.0  \n",
       "457         2012.0         Duo           MKTO  102.0 -5.0  76.0  175.0  79.0  \n",
       "475         2012.0        Solo        Pitbull  130.0 -4.0  79.0  204.0  96.0  \n",
       "498         2012.0        Solo           Zedd  128.0 -3.0  46.0  217.0  74.0  \n",
       "\n",
       "[109 rows x 10 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "songs_2012 = spotify_df[spotify_df['year released'] == 2012.0]\n",
    "songs_2012"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>artist</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>Million Voices - Radio Edit</td>\n",
       "      <td>Otto Knows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>Skyfall</td>\n",
       "      <td>Adele</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>Dirty Paws</td>\n",
       "      <td>Of Monsters and Men</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>Video Games</td>\n",
       "      <td>Lana Del Rey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>Clarity</td>\n",
       "      <td>Zedd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>Hands on the Wheel (feat. Asap Rocky)</td>\n",
       "      <td>ScHoolboy Q</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>Ride</td>\n",
       "      <td>Lana Del Rey</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Thinkin Bout You</td>\n",
       "      <td>Frank Ocean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>m.A.A.d city</td>\n",
       "      <td>Kendrick Lamar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Madness</td>\n",
       "      <td>Muse</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     title               artist\n",
       "270            Million Voices - Radio Edit           Otto Knows\n",
       "200                                Skyfall                Adele\n",
       "266                             Dirty Paws  Of Monsters and Men\n",
       "252                            Video Games         Lana Del Rey\n",
       "399                                Clarity                 Zedd\n",
       "283  Hands on the Wheel (feat. Asap Rocky)          ScHoolboy Q\n",
       "251                                   Ride         Lana Del Rey\n",
       "232                       Thinkin Bout You          Frank Ocean\n",
       "248                           m.A.A.d city       Kendrick Lamar\n",
       "262                                Madness                 Muse"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos_songs = songs_2012.sort_values('val').head(10)\n",
    "pos_songs[['title', 'artist']]"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Wish you a positive mood from 2012"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Q5: What is the average of song duration, positivity and bpm in each year?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dur</th>\n",
       "      <th>bpm</th>\n",
       "      <th>val</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year released</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010.0</th>\n",
       "      <td>221.968085</td>\n",
       "      <td>120.787234</td>\n",
       "      <td>58.808511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011.0</th>\n",
       "      <td>231.010753</td>\n",
       "      <td>126.322581</td>\n",
       "      <td>52.774194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012.0</th>\n",
       "      <td>227.825688</td>\n",
       "      <td>120.743119</td>\n",
       "      <td>55.733945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013.0</th>\n",
       "      <td>234.965116</td>\n",
       "      <td>120.197674</td>\n",
       "      <td>50.569767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014.0</th>\n",
       "      <td>222.099010</td>\n",
       "      <td>120.544554</td>\n",
       "      <td>50.504950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015.0</th>\n",
       "      <td>219.939394</td>\n",
       "      <td>118.575758</td>\n",
       "      <td>46.010101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016.0</th>\n",
       "      <td>221.290698</td>\n",
       "      <td>120.430233</td>\n",
       "      <td>48.244186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017.0</th>\n",
       "      <td>216.818182</td>\n",
       "      <td>119.141414</td>\n",
       "      <td>46.808081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018.0</th>\n",
       "      <td>210.392857</td>\n",
       "      <td>119.714286</td>\n",
       "      <td>46.669643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019.0</th>\n",
       "      <td>192.712644</td>\n",
       "      <td>126.678161</td>\n",
       "      <td>52.988506</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      dur         bpm        val\n",
       "year released                                   \n",
       "2010.0         221.968085  120.787234  58.808511\n",
       "2011.0         231.010753  126.322581  52.774194\n",
       "2012.0         227.825688  120.743119  55.733945\n",
       "2013.0         234.965116  120.197674  50.569767\n",
       "2014.0         222.099010  120.544554  50.504950\n",
       "2015.0         219.939394  118.575758  46.010101\n",
       "2016.0         221.290698  120.430233  48.244186\n",
       "2017.0         216.818182  119.141414  46.808081\n",
       "2018.0         210.392857  119.714286  46.669643\n",
       "2019.0         192.712644  126.678161  52.988506"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_data = spotify_df.groupby('year released')[['dur', 'bpm', 'val']].mean()\n",
    "new_data"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So it's nice. we can see that 2015 was not a good year for people who like energetic musics, because it has the least amount of \"val\" and \"bpm\" in the table. Also if you like to listen to some energetic musics you can choose songs from 2011 and 2019 (:"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us save and upload our work to Jovian before continuing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "window.require && require([\"base/js/namespace\"],function(Jupyter){Jupyter.notebook.save_checkpoint()})",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "jovian.commit()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inferences and Conclusion\n",
    "\n",
    "So we started with a raw data frame and then we ended up having 10 columns. We looked at the columns graphically and also answered some interesting questions, Like what band has the most songs!\n",
    "Using this data set we were able to see that people like pop dance a lot and also Taylor Swift rocks!\n",
    "Music and programming are Inseparable! either when you are coding or doing a data analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "jovian.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jovian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "jovian.commit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}