{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Creating Helper Functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>album</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>artist</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>customer</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>employee</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>genre</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>invoice</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>invoice_line</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>media_type</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>playlist</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>playlist_track</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>track</td>\n",
       "      <td>table</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name   type\n",
       "0            album  table\n",
       "1           artist  table\n",
       "2         customer  table\n",
       "3         employee  table\n",
       "4            genre  table\n",
       "5          invoice  table\n",
       "6     invoice_line  table\n",
       "7       media_type  table\n",
       "8         playlist  table\n",
       "9   playlist_track  table\n",
       "10           track  table"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sqlite3\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import cm\n",
    "%matplotlib inline\n",
    "\n",
    "db = 'chinook.db'\n",
    "\n",
    "def run_query(q):\n",
    "    with sqlite3.connect(db) as conn:\n",
    "        return pd.read_sql(q, conn)\n",
    "\n",
    "def run_command(c):\n",
    "    with sqlite3.connect(db) as conn:\n",
    "        conn.isolation_level = None\n",
    "        conn.execute(c)\n",
    "\n",
    "def show_tables():\n",
    "    q = '''\n",
    "    SELECT\n",
    "        name,\n",
    "        type\n",
    "    FROM sqlite_master\n",
    "    WHERE type IN (\"table\",\"view\");\n",
    "    '''\n",
    "    return run_query(q)\n",
    "\n",
    "show_tables()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Selecting New Albums to Purchase"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre</th>\n",
       "      <th>tracks_sold</th>\n",
       "      <th>percentage_sold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rock</td>\n",
       "      <td>561</td>\n",
       "      <td>0.533777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alternative &amp; Punk</td>\n",
       "      <td>130</td>\n",
       "      <td>0.123692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Metal</td>\n",
       "      <td>124</td>\n",
       "      <td>0.117983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>R&amp;B/Soul</td>\n",
       "      <td>53</td>\n",
       "      <td>0.050428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Blues</td>\n",
       "      <td>36</td>\n",
       "      <td>0.034253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Alternative</td>\n",
       "      <td>35</td>\n",
       "      <td>0.033302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Latin</td>\n",
       "      <td>22</td>\n",
       "      <td>0.020932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pop</td>\n",
       "      <td>22</td>\n",
       "      <td>0.020932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Hip Hop/Rap</td>\n",
       "      <td>20</td>\n",
       "      <td>0.019029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Jazz</td>\n",
       "      <td>14</td>\n",
       "      <td>0.013321</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                genre  tracks_sold  percentage_sold\n",
       "0                Rock          561         0.533777\n",
       "1  Alternative & Punk          130         0.123692\n",
       "2               Metal          124         0.117983\n",
       "3            R&B/Soul           53         0.050428\n",
       "4               Blues           36         0.034253\n",
       "5         Alternative           35         0.033302\n",
       "6               Latin           22         0.020932\n",
       "7                 Pop           22         0.020932\n",
       "8         Hip Hop/Rap           20         0.019029\n",
       "9                Jazz           14         0.013321"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albums_to_purchase = '''\n",
    "WITH usa_tracks_sold AS\n",
    "   (\n",
    "    SELECT il.* FROM invoice_line il\n",
    "    INNER JOIN invoice i on il.invoice_id = i.invoice_id\n",
    "    INNER JOIN customer c on i.customer_id = c.customer_id\n",
    "    WHERE c.country = \"USA\"\n",
    "   )\n",
    "\n",
    "SELECT\n",
    "    g.name genre,\n",
    "    count(uts.invoice_line_id) tracks_sold,\n",
    "    cast(count(uts.invoice_line_id) AS FLOAT) / (\n",
    "        SELECT COUNT(*) from usa_tracks_sold\n",
    "    ) percentage_sold\n",
    "FROM usa_tracks_sold uts\n",
    "INNER JOIN track t on t.track_id = uts.track_id\n",
    "INNER JOIN genre g on g.genre_id = t.genre_id\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC\n",
    "LIMIT 10;\n",
    "'''\n",
    "\n",
    "run_query(albums_to_purchase)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "hidden": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3N5eSkpIO7rGIiEjraX6oc7rGzD40s8PAH4B84EdAEvBCWN0XgGFmZiFlfwmr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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107b6b390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genre_sales_usa = run_query(albums_to_purchase)\n",
    "genre_sales_usa.set_index(\"genre\", inplace=True, drop=True)\n",
    "\n",
    "genre_sales_usa[\"tracks_sold\"].plot.barh(\n",
    "    title=\"Top Selling Genres in the USA\",\n",
    "    xlim=(0, 625),\n",
    "    colormap=plt.cm.Accent\n",
    ")\n",
    "\n",
    "plt.ylabel('')\n",
    "\n",
    "for i, label in enumerate(list(genre_sales_usa.index)):\n",
    "    score = genre_sales_usa.loc[label, \"tracks_sold\"]\n",
    "    label = (genre_sales_usa.loc[label, \"percentage_sold\"] * 100\n",
    "            ).astype(int).astype(str) + \"%\"\n",
    "    plt.annotate(str(label), (score + 10, i - 0.15))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Based on the sales of tracks across different genres in the USA, we should purchase the new albums by the following artists:\n",
    "\n",
    "- Red Tone (Punk)\n",
    "- Slim Jim Bites (Blues)\n",
    "- Meteor and the Girls (Pop)\n",
    "\n",
    "It's worth keeping in mind that combined, these three genres only make up only 17% of total sales, so we should be on the lookout for artists and albums from the 'rock' genre, which accounts for 53% of sales."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Analyzing Employee Sales Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>employee</th>\n",
       "      <th>hire_date</th>\n",
       "      <th>total_sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jane Peacock</td>\n",
       "      <td>2017-04-01 00:00:00</td>\n",
       "      <td>1731.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Margaret Park</td>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>1584.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Steve Johnson</td>\n",
       "      <td>2017-10-17 00:00:00</td>\n",
       "      <td>1393.92</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        employee            hire_date  total_sales\n",
       "0   Jane Peacock  2017-04-01 00:00:00      1731.51\n",
       "1  Margaret Park  2017-05-03 00:00:00      1584.00\n",
       "2  Steve Johnson  2017-10-17 00:00:00      1393.92"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "employee_sales_performance = '''\n",
    "WITH customer_support_rep_sales AS\n",
    "    (\n",
    "     SELECT\n",
    "         i.customer_id,\n",
    "         c.support_rep_id,\n",
    "         SUM(i.total) total\n",
    "     FROM invoice i\n",
    "     INNER JOIN customer c ON i.customer_id = c.customer_id\n",
    "     GROUP BY 1,2\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    e.first_name || \" \" || e.last_name employee,\n",
    "    e.hire_date,\n",
    "    SUM(csrs.total) total_sales\n",
    "FROM customer_support_rep_sales csrs\n",
    "INNER JOIN employee e ON e.employee_id = csrs.support_rep_id\n",
    "GROUP BY 1;\n",
    "'''\n",
    "\n",
    "run_query(employee_sales_performance)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p6Uzq6cnrWPZqz37BdanlpZRvAa+mXin5glWsRZIkjQErNaJTSnnNMOtf2PP8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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112492668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "employee_sales = run_query(employee_sales_performance)\n",
    "\n",
    "employee_sales.set_index(\"employee\", drop=True, inplace=True)\n",
    "employee_sales.sort_values(\"total_sales\", inplace=True)\n",
    "employee_sales.plot.barh(\n",
    "    legend=False,\n",
    "    title='Sales Breakdown by Employee',\n",
    "    colormap=plt.cm.Accent\n",
    ")\n",
    "plt.ylabel('')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "While there is a 20% difference in sales between Jane (the top employee) and Steve (the bottom employee), the difference roughly corresponds with the differences in their hiring dates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Analyzing Sales by Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>country</th>\n",
       "      <th>customers</th>\n",
       "      <th>total_sales</th>\n",
       "      <th>average_order</th>\n",
       "      <th>customer_lifetime_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>USA</td>\n",
       "      <td>13</td>\n",
       "      <td>1040.49</td>\n",
       "      <td>7.942672</td>\n",
       "      <td>80.037692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Canada</td>\n",
       "      <td>8</td>\n",
       "      <td>535.59</td>\n",
       "      <td>7.047237</td>\n",
       "      <td>66.948750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brazil</td>\n",
       "      <td>5</td>\n",
       "      <td>427.68</td>\n",
       "      <td>7.011148</td>\n",
       "      <td>85.536000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>France</td>\n",
       "      <td>5</td>\n",
       "      <td>389.07</td>\n",
       "      <td>7.781400</td>\n",
       "      <td>77.814000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Germany</td>\n",
       "      <td>4</td>\n",
       "      <td>334.62</td>\n",
       "      <td>8.161463</td>\n",
       "      <td>83.655000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>2</td>\n",
       "      <td>273.24</td>\n",
       "      <td>9.108000</td>\n",
       "      <td>136.620000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>3</td>\n",
       "      <td>245.52</td>\n",
       "      <td>8.768571</td>\n",
       "      <td>81.840000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>2</td>\n",
       "      <td>185.13</td>\n",
       "      <td>6.383793</td>\n",
       "      <td>92.565000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>India</td>\n",
       "      <td>2</td>\n",
       "      <td>183.15</td>\n",
       "      <td>8.721429</td>\n",
       "      <td>91.575000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Other</td>\n",
       "      <td>15</td>\n",
       "      <td>1094.94</td>\n",
       "      <td>7.448571</td>\n",
       "      <td>72.996000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          country  customers  total_sales  average_order  \\\n",
       "0             USA         13      1040.49       7.942672   \n",
       "1          Canada          8       535.59       7.047237   \n",
       "2          Brazil          5       427.68       7.011148   \n",
       "3          France          5       389.07       7.781400   \n",
       "4         Germany          4       334.62       8.161463   \n",
       "5  Czech Republic          2       273.24       9.108000   \n",
       "6  United Kingdom          3       245.52       8.768571   \n",
       "7        Portugal          2       185.13       6.383793   \n",
       "8           India          2       183.15       8.721429   \n",
       "9           Other         15      1094.94       7.448571   \n",
       "\n",
       "   customer_lifetime_value  \n",
       "0                80.037692  \n",
       "1                66.948750  \n",
       "2                85.536000  \n",
       "3                77.814000  \n",
       "4                83.655000  \n",
       "5               136.620000  \n",
       "6                81.840000  \n",
       "7                92.565000  \n",
       "8                91.575000  \n",
       "9                72.996000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales_by_country = '''\n",
    "WITH country_or_other AS\n",
    "    (\n",
    "     SELECT\n",
    "       CASE\n",
    "           WHEN (\n",
    "                 SELECT count(*)\n",
    "                 FROM customer\n",
    "                 where country = c.country\n",
    "                ) = 1 THEN \"Other\"\n",
    "           ELSE c.country\n",
    "       END AS country,\n",
    "       c.customer_id,\n",
    "       il.*\n",
    "     FROM invoice_line il\n",
    "     INNER JOIN invoice i ON i.invoice_id = il.invoice_id\n",
    "     INNER JOIN customer c ON c.customer_id = i.customer_id\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    country,\n",
    "    customers,\n",
    "    total_sales,\n",
    "    average_order,\n",
    "    customer_lifetime_value\n",
    "FROM\n",
    "    (\n",
    "    SELECT\n",
    "        country,\n",
    "        count(distinct customer_id) customers,\n",
    "        SUM(unit_price) total_sales,\n",
    "        SUM(unit_price) / count(distinct customer_id) customer_lifetime_value,\n",
    "        SUM(unit_price) / count(distinct invoice_id) average_order,\n",
    "        CASE\n",
    "            WHEN country = \"Other\" THEN 1\n",
    "            ELSE 0\n",
    "        END AS sort\n",
    "    FROM country_or_other\n",
    "    GROUP BY country\n",
    "    ORDER BY sort ASC, total_sales DESC\n",
    "    );\n",
    "'''\n",
    "\n",
    "run_query(sales_by_country)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Visualizing Sales by Country"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YhmEcbojIsV4/KMgq3UYETIEvIYhID/8n2C0iR0Y4/qmIRHNyY0maTPEfXFSXR4HrcIso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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112ad3b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "country_metrics = run_query(sales_by_country)\n",
    "country_metrics.set_index(\"country\", drop=True, inplace=True)\n",
    "colors = [plt.cm.Accent(i) for i in np.linspace(0, 1, country_metrics.shape[0])]\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(9, 10))\n",
    "ax1, ax2, ax3, ax4 = axes.flatten()\n",
    "fig.subplots_adjust(hspace=.5, wspace=.3)\n",
    "\n",
    "\n",
    "# top left\n",
    "sales_breakdown = country_metrics[\"total_sales\"].copy().rename('')\n",
    "sales_breakdown.plot.pie(\n",
    "    ax=ax1,\n",
    "    startangle=-90,\n",
    "    counterclock=False,\n",
    "    title='Sales Breakdown by Country,\\nNumber of Customers',\n",
    "    colormap=plt.cm.Accent,\n",
    "    fontsize=8,\n",
    "    wedgeprops={'linewidth':0}\n",
    "    \n",
    ")\n",
    "\n",
    "# top right\n",
    "cvd_cols = [\"customers\",\"total_sales\"]\n",
    "custs_vs_dollars = country_metrics[cvd_cols].copy()\n",
    "custs_vs_dollars.index.name = ''\n",
    "for c in cvd_cols:\n",
    "    custs_vs_dollars[c] /= custs_vs_dollars[c].sum() / 100\n",
    "custs_vs_dollars.plot.bar(\n",
    "    ax=ax2,\n",
    "    colormap=plt.cm.Set1,\n",
    "    title=\"Pct Customers vs Sales\"\n",
    ")\n",
    "ax2.tick_params(top=\"off\", right=\"off\", left=\"off\", bottom=\"off\")\n",
    "ax2.spines[\"top\"].set_visible(False)\n",
    "ax2.spines[\"right\"].set_visible(False)\n",
    "\n",
    "\n",
    "# bottom left\n",
    "avg_order = country_metrics[\"average_order\"].copy()\n",
    "avg_order.index.name = ''\n",
    "difference_from_avg = avg_order * 100 / avg_order.mean() - 100\n",
    "difference_from_avg.drop(\"Other\", inplace=True)\n",
    "difference_from_avg.plot.bar(\n",
    "    ax=ax3,\n",
    "    color=colors,\n",
    "    title=\"Average Order,\\nPct Difference from Mean\"\n",
    ")\n",
    "ax3.tick_params(top=\"off\", right=\"off\", left=\"off\", bottom=\"off\")\n",
    "ax3.axhline(0, color='k')\n",
    "ax3.spines[\"top\"].set_visible(False)\n",
    "ax3.spines[\"right\"].set_visible(False)\n",
    "ax3.spines[\"bottom\"].set_visible(False)\n",
    "\n",
    "# bottom right\n",
    "ltv = country_metrics[\"customer_lifetime_value\"].copy()\n",
    "ltv.index.name = ''\n",
    "ltv.drop(\"Other\",inplace=True)\n",
    "ltv.plot.bar(\n",
    "    ax=ax4,\n",
    "    color=colors,\n",
    "    title=\"Customer Lifetime Value, Dollars\"\n",
    ")\n",
    "ax4.tick_params(top=\"off\", right=\"off\", left=\"off\", bottom=\"off\")\n",
    "ax4.spines[\"top\"].set_visible(False)\n",
    "ax4.spines[\"right\"].set_visible(False)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Based on the data, there may be opportunity in the following countries:\n",
    "\n",
    "- Czech Republic\n",
    "- United Kingdom\n",
    "- India\n",
    "\n",
    "It's worth keeping in mind that because the amount of data from each of these countries is relatively low.  Because of this, we should be cautious spending too much money on new marketing campaigns, as the sample size is not large enough to give us high confidence.  A better approach would be to run small campaigns in these countries, collecting and analyzing the new customers to make sure that these trends hold with new customers."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "## Albums vs Individual Tracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "hidden": true,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>album_purchase</th>\n",
       "      <th>number_of_invoices</th>\n",
       "      <th>percent</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>no</td>\n",
       "      <td>500</td>\n",
       "      <td>0.814332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yes</td>\n",
       "      <td>114</td>\n",
       "      <td>0.185668</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  album_purchase  number_of_invoices   percent\n",
       "0             no                 500  0.814332\n",
       "1            yes                 114  0.185668"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "albums_vs_tracks = '''\n",
    "WITH invoice_first_track AS\n",
    "    (\n",
    "     SELECT\n",
    "         il.invoice_id invoice_id,\n",
    "         MIN(il.track_id) first_track_id\n",
    "     FROM invoice_line il\n",
    "     GROUP BY 1\n",
    "    )\n",
    "\n",
    "SELECT\n",
    "    album_purchase,\n",
    "    COUNT(invoice_id) number_of_invoices,\n",
    "    CAST(count(invoice_id) AS FLOAT) / (\n",
    "                                         SELECT COUNT(*) FROM invoice\n",
    "                                      ) percent\n",
    "FROM\n",
    "    (\n",
    "    SELECT\n",
    "        ifs.*,\n",
    "        CASE\n",
    "            WHEN\n",
    "                 (\n",
    "                  SELECT t.track_id FROM track t\n",
    "                  WHERE t.album_id = (\n",
    "                                      SELECT t2.album_id FROM track t2\n",
    "                                      WHERE t2.track_id = ifs.first_track_id\n",
    "                                     ) \n",
    "\n",
    "                  EXCEPT \n",
    "\n",
    "                  SELECT il2.track_id FROM invoice_line il2\n",
    "                  WHERE il2.invoice_id = ifs.invoice_id\n",
    "                 ) IS NULL\n",
    "             AND\n",
    "                 (\n",
    "                  SELECT il2.track_id FROM invoice_line il2\n",
    "                  WHERE il2.invoice_id = ifs.invoice_id\n",
    "\n",
    "                  EXCEPT \n",
    "\n",
    "                  SELECT t.track_id FROM track t\n",
    "                  WHERE t.album_id = (\n",
    "                                      SELECT t2.album_id FROM track t2\n",
    "                                      WHERE t2.track_id = ifs.first_track_id\n",
    "                                     ) \n",
    "                 ) IS NULL\n",
    "             THEN \"yes\"\n",
    "             ELSE \"no\"\n",
    "         END AS \"album_purchase\"\n",
    "     FROM invoice_first_track ifs\n",
    "    )\n",
    "GROUP BY album_purchase;\n",
    "'''\n",
    "\n",
    "run_query(albums_vs_tracks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hidden": true
   },
   "source": [
    "Album purchases account for 18.6% of purchases.  Based on this data, I would recommend against purchasing only select tracks from albums from record companies, since there is potential to lose one fifth of revenue."
   ]
  }
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