dashboard.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Import Python Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import psycopg2\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import user_agents\n",
    "\n",
    "%matplotlib inline\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Connect Database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "conn = psycopg2.connect(\"host=127.0.0.1 dbname=sparkifydb user=student password=student\")\n",
    "cur = conn.cursor()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. General Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_total(cur, tables):   \n",
    "    totals = dict()\n",
    "    for table in tables:\n",
    "        query = \"SELECT count(*) FROM %s;\" % table\n",
    "        cur.execute(query)\n",
    "        res = cur.fetchone()\n",
    "        totals[table] = res[0]\n",
    "    return totals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total songplays = 6831\n",
      "Total users = 96\n",
      "Total artists = 69\n",
      "Total songs = 71\n"
     ]
    }
   ],
   "source": [
    "tables = ['songplays', 'users', 'artists', 'songs']\n",
    "totals = get_total(cur, tables)\n",
    "for k, v in totals.items():\n",
    "    print(\"Total {} = {}\".format(k, v))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Display duplicates in songplays if it exists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>start_time</th>\n",
       "      <th>user_id</th>\n",
       "      <th>level</th>\n",
       "      <th>song_id</th>\n",
       "      <th>artist_id</th>\n",
       "      <th>session_id</th>\n",
       "      <th>location</th>\n",
       "      <th>user_agent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-11-01 21:08:16.796</td>\n",
       "      <td>8</td>\n",
       "      <td>free</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>139</td>\n",
       "      <td>Phoenix-Mesa-Scottsdale, AZ</td>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-11-01 22:23:14.796</td>\n",
       "      <td>101</td>\n",
       "      <td>free</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>100</td>\n",
       "      <td>New Orleans-Metairie, LA</td>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-11-01 21:24:53.796</td>\n",
       "      <td>8</td>\n",
       "      <td>free</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>139</td>\n",
       "      <td>Phoenix-Mesa-Scottsdale, AZ</td>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-11-01 21:01:46.796</td>\n",
       "      <td>8</td>\n",
       "      <td>free</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>139</td>\n",
       "      <td>Phoenix-Mesa-Scottsdale, AZ</td>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-11-01 21:28:54.796</td>\n",
       "      <td>8</td>\n",
       "      <td>free</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>139</td>\n",
       "      <td>Phoenix-Mesa-Scottsdale, AZ</td>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               start_time  user_id level song_id artist_id  session_id  \\\n",
       "0 2018-11-01 21:08:16.796        8  free    None      None         139   \n",
       "1 2018-11-01 22:23:14.796      101  free    None      None         100   \n",
       "2 2018-11-01 21:24:53.796        8  free    None      None         139   \n",
       "3 2018-11-01 21:01:46.796        8  free    None      None         139   \n",
       "4 2018-11-01 21:28:54.796        8  free    None      None         139   \n",
       "\n",
       "                      location  \\\n",
       "0  Phoenix-Mesa-Scottsdale, AZ   \n",
       "1     New Orleans-Metairie, LA   \n",
       "2  Phoenix-Mesa-Scottsdale, AZ   \n",
       "3  Phoenix-Mesa-Scottsdale, AZ   \n",
       "4  Phoenix-Mesa-Scottsdale, AZ   \n",
       "\n",
       "                                          user_agent  \n",
       "0  \"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...  \n",
       "1  \"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebK...  \n",
       "2  \"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...  \n",
       "3  \"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...  \n",
       "4  \"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebK...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT start_time, user_id, level, song_id, artist_id, session_id, location, user_agent\n",
    "FROM songplays\n",
    "GROUP BY start_time, user_id, level, song_id, artist_id, session_id, location, user_agent\n",
    "HAVING count(*) > 1;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res_dup = cur.fetchall()\n",
    "if res_dup:\n",
    "    df_dup = pd.DataFrame(res_dup)\n",
    "    df_dup.columns = [\"start_time\", \"user_id\", \"level\", \"song_id\", \"artist_id\", \"session_id\", \"location\", \"user_agent\"]\n",
    "    display(df_dup.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Remove duplicates in songplays if it exists"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed 1 duplicated rows\n",
      "Removed TOTAL 11 duplicated rows\n"
     ]
    }
   ],
   "source": [
    "def remove_duplicates(cur, conn, df, df_index):\n",
    "    \"\"\"Summary\n",
    "    - remove duplicates\n",
    "    \"\"\"\n",
    "\n",
    "    select_query = \"\"\"\n",
    "SELECT songplay_id FROM songplays\n",
    "WHERE (start_time = '%s') AND (user_id = %s) \n",
    "AND (level = '%s') AND (song_id = %s) \n",
    "AND (artist_id = %s) AND (session_id = %s)\n",
    "AND (location = '%s') AND (user_agent = '%s')\n",
    "ORDER BY songplay_id\n",
    "\"\"\"\n",
    "\n",
    "    query = select_query % tuple(df.iloc[df_index,:].to_list())\n",
    "    query = query.replace('= None', 'IS NULL')\n",
    "\n",
    "    cur.execute(query)\n",
    "    res = cur.fetchall()\n",
    "    # keep only the first one\n",
    "    ids_deleting = [i[0] for i in res[1:]]\n",
    "\n",
    "    if not ids_deleting: return 0\n",
    "    del_query = \"DELETE FROM songplays WHERE songplay_id IN (%s);\" % ','.join(map(str, ids_deleting))\n",
    "    cur.execute(del_query)\n",
    "    rows_deleted = cur.rowcount\n",
    "    conn.commit()\n",
    "    \n",
    "    return rows_deleted\n",
    "\n",
    "if res_dup:\n",
    "    rows_deleted = 0\n",
    "    for i in range(df_dup.shape[0]):\n",
    "        rd = remove_duplicates(cur, conn, df_dup, i)\n",
    "        if rd: print('Removed %s duplicated rows' % rd)\n",
    "        rows_deleted += rd\n",
    "    print('Removed TOTAL %s duplicated rows' % rows_deleted)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Analyses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1. Functions to plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bar_plot(df, x, y, ix, iy, ax, **kwargs):\n",
    "    sns.barplot(data=df, x=x, y=y, ax=ax);\n",
    "    for p in ax.patches:\n",
    "        ax.annotate('{}'.format(round(p.get_height())), (p.get_x() + ix, p.get_height() + iy))\n",
    "    ax.set(**kwargs);\n",
    "\n",
    "def pie_plot(df, x, y, ax, **kwargs):\n",
    "    ax.pie(x=df[y], labels=df[x],\n",
    "        autopct = \"%.1f%%\", explode = [0.05] * df.shape[0], pctdistance = 0.5\n",
    "    );\n",
    "    ax.set(**kwargs);\n",
    "\n",
    "def plot_bar_pie_graphs(df, x, y, ix, iy, kwargs=[{}, {}], figsize=(16,8)):\n",
    "    fig, axes = plt.subplots(1, 2, figsize = figsize)\n",
    "    bar_plot(df, x, y, ix, iy, axes[0], **kwargs[0])\n",
    "    pie_plot(df, x, y, axes[1], **kwargs[1])\n",
    "\n",
    "def bar_plot_horizontal(df, x, y, ix, iy, ax, **kwargs):\n",
    "    df[y] = df[y].astype(str)\n",
    "    sns.barplot(data=df, x=x, y=y, ax=ax);\n",
    "    for p in ax.patches:\n",
    "        ax.annotate('{}'.format(round(p.get_width())), (p.get_width() + ix, p.get_y() + iy))\n",
    "    ax.set(**kwargs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.2. Analyses on user level"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q1. Which user level is more active on Sparkify app?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>level</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>free</td>\n",
       "      <td>1229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>paid</td>\n",
       "      <td>5591</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  level  plays\n",
       "0  free   1229\n",
       "1  paid   5591"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT level, count(songplay_id)\n",
    "FROM songplays\n",
    "GROUP BY level;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_level = pd.DataFrame(res)\n",
    "df_level.columns = ['level', 'plays']\n",
    "df_level.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of plays', 'title':'number of plays per level'},\n",
    "    {'title':'percentage of plays per level'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_level, 'level', 'plays', ix=0.35, iy=30, kwargs=kwargs)\n",
    "plt.savefig('images/plays_per_level.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q2. What is the rate of user levels?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "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>level</th>\n",
       "      <th>users</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>free</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>paid</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  level  users\n",
       "0  free     74\n",
       "1  paid     22"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT level, count(user_id)\n",
    "FROM users\n",
    "GROUP BY level;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_user = pd.DataFrame(res)\n",
    "df_user.columns = ['level', 'users']\n",
    "df_user.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of users', 'title':'number of users per level'},\n",
    "    {'title':'percentage of users per level'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_user, 'level', 'users', ix=0.36, iy=0.5, kwargs=kwargs)\n",
    "plt.savefig('images/users_per_level.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.3. Analyses on user agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>user_agent</th>\n",
       "      <th>plays</th>\n",
       "      <th>browser</th>\n",
       "      <th>os</th>\n",
       "      <th>device</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>\"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4...</td>\n",
       "      <td>111</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Mac OS X</td>\n",
       "      <td>Mac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>\"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebK...</td>\n",
       "      <td>427</td>\n",
       "      <td>Chrome</td>\n",
       "      <td>Windows</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Mozilla/5.0 (Windows NT 6.1; WOW64; rv:32.0) G...</td>\n",
       "      <td>30</td>\n",
       "      <td>Firefox</td>\n",
       "      <td>Windows</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mozilla/5.0 (Windows NT 6.1; rv:31.0) Gecko/20...</td>\n",
       "      <td>26</td>\n",
       "      <td>Firefox</td>\n",
       "      <td>Windows</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>\"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/5...</td>\n",
       "      <td>577</td>\n",
       "      <td>Chromium</td>\n",
       "      <td>Ubuntu</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          user_agent  plays   browser  \\\n",
       "0  \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_9_4...    111    Chrome   \n",
       "1  \"Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebK...    427    Chrome   \n",
       "2  Mozilla/5.0 (Windows NT 6.1; WOW64; rv:32.0) G...     30   Firefox   \n",
       "3  Mozilla/5.0 (Windows NT 6.1; rv:31.0) Gecko/20...     26   Firefox   \n",
       "4  \"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/5...    577  Chromium   \n",
       "\n",
       "         os device  \n",
       "0  Mac OS X    Mac  \n",
       "1   Windows  Other  \n",
       "2   Windows  Other  \n",
       "3   Windows  Other  \n",
       "4    Ubuntu  Other  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT user_agent, count(songplay_id)\n",
    "FROM songplays\n",
    "GROUP BY user_agent;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_user_agent = pd.DataFrame(res)\n",
    "df_user_agent.columns = ['user_agent', 'plays']\n",
    "\n",
    "ugs = [user_agents.parse(i) for i in df_user_agent['user_agent']]\n",
    "df_user_agent['browser'] = [ug.browser.family for ug in ugs]\n",
    "df_user_agent['os'] = [ug.os.family for ug in ugs]\n",
    "df_user_agent['device'] = [ug.device.family for ug in ugs]\n",
    "df_user_agent.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q3. Which browsers are used to access Sparkify app?"
   ]
  },
  {
   "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>browser</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chrome</td>\n",
       "      <td>3319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chromium</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Firefox</td>\n",
       "      <td>1589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IE</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Mobile Safari</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         browser  plays\n",
       "0         Chrome   3319\n",
       "1       Chromium    577\n",
       "2        Firefox   1589\n",
       "3             IE     28\n",
       "4  Mobile Safari    239"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_browser = df_user_agent[['browser', 'plays']].groupby(['browser']).sum().reset_index()\n",
    "df_browser.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of plays', 'title':'number of plays per browser'},\n",
    "    {'title':'percentage of browsers'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_browser, 'browser', 'plays', ix=0.18, iy=15, kwargs=kwargs)\n",
    "plt.savefig('images/browser.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q4. Which OS are used to access Sparkify app?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>os</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Linux</td>\n",
       "      <td>576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Mac OS X</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ubuntu</td>\n",
       "      <td>577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Windows</td>\n",
       "      <td>2428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>iOS</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         os  plays\n",
       "0     Linux    576\n",
       "1  Mac OS X   3000\n",
       "2    Ubuntu    577\n",
       "3   Windows   2428\n",
       "4       iOS    239"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_os = df_user_agent[['os', 'plays']].groupby(['os']).sum().reset_index()\n",
    "df_os.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of plays', 'title':'number of plays per OS', 'xlabel':'OS'},\n",
    "    {'title':'percentage of OS'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_os, 'os', 'plays', ix=0.2, iy=15, kwargs=kwargs)\n",
    "plt.savefig('images/os.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q5. Which devices are used to access Sparkify app?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>device</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Mac</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Other</td>\n",
       "      <td>3581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>iPhone</td>\n",
       "      <td>239</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   device  plays\n",
       "0     Mac   3000\n",
       "1   Other   3581\n",
       "2  iPhone    239"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_device = df_user_agent[['device', 'plays']].groupby(['device']).sum().reset_index()\n",
    "df_device.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of plays', 'title':'number of plays per device'},\n",
    "    {'title':'percentage of devices'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_device, 'device', 'plays', ix=0.3, iy=20, kwargs=kwargs)\n",
    "plt.savefig('images/device.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.4. Analyses on start time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q6. What is the rate of using Sparkify app over weeks?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>week</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>44</td>\n",
       "      <td>410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>45</td>\n",
       "      <td>1257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>46</td>\n",
       "      <td>1958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>47</td>\n",
       "      <td>1711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>48</td>\n",
       "      <td>1484</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   week  plays\n",
       "0    44    410\n",
       "1    45   1257\n",
       "2    46   1958\n",
       "3    47   1711\n",
       "4    48   1484"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT week, count(songplay_id)\n",
    "FROM songplays\n",
    "JOIN time ON songplays.start_time = time.start_time\n",
    "GROUP BY week\n",
    "ORDER BY week;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_week = pd.DataFrame(res)\n",
    "df_week.columns = ['week', 'plays']\n",
    "df_week.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'ylabel':'number of plays', 'title':'number of plays per week'},\n",
    "    {'title':'percentage of weeks'}\n",
    "]\n",
    "plot_bar_pie_graphs(df_week, 'week', 'plays', ix=0.2, iy=20, kwargs=kwargs)\n",
    "plt.savefig('images/week.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.5. Analyses on location"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Q7. What are top users, top regions using Sparkify app?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>user</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>49</td>\n",
       "      <td>689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80</td>\n",
       "      <td>665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>97</td>\n",
       "      <td>557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>44</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   user  plays\n",
       "0    49    689\n",
       "1    80    665\n",
       "2    97    557\n",
       "3    15    463\n",
       "4    44    397"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT user_id, count(songplay_id) AS plays\n",
    "FROM songplays\n",
    "GROUP BY user_id\n",
    "ORDER BY plays DESC\n",
    "LIMIT 10;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_user = pd.DataFrame(res)\n",
    "df_user.columns = ['user', 'plays']\n",
    "df_user.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>plays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CA</td>\n",
       "      <td>1572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ME</td>\n",
       "      <td>665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>MI</td>\n",
       "      <td>636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IL-IN-WI</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GA</td>\n",
       "      <td>456</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     region  plays\n",
       "0        CA   1572\n",
       "1        ME    665\n",
       "2        MI    636\n",
       "3  IL-IN-WI    475\n",
       "4        GA    456"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query=\"\"\"\n",
    "SELECT REVERSE(TRIM(SPLIT_PART(REVERSE(location), ',', 1))) AS region, count(songplay_id) AS plays\n",
    "FROM songplays\n",
    "GROUP BY region\n",
    "ORDER BY plays DESC\n",
    "LIMIT 10;\n",
    "\"\"\"\n",
    "cur.execute(query)\n",
    "res = cur.fetchall()\n",
    "df_region = pd.DataFrame(res)\n",
    "df_region.columns = ['region', 'plays']\n",
    "df_region.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = [\n",
    "    {'xlabel':'number of plays', 'title':'Top 10 users using Sparkify app', 'ylabel': 'user id'},\n",
    "    {'xlabel':'number of plays', 'title':'Top 10 regions using Sparkify app'}\n",
    "]\n",
    "fig, axes = plt.subplots(1, 2, figsize=(16, 8))\n",
    "bar_plot_horizontal(df_user, 'plays', 'user', ix=2, iy=0.5, ax=axes[0], **kwargs[0])\n",
    "bar_plot_horizontal(df_region, 'plays', 'region', ix=2, iy=0.5, ax=axes[1], **kwargs[1])\n",
    "plt.savefig('images/top_users_regions.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "cur.close()\n",
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}