{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import / Config"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from sqlalchemy import create_engine, text\n",
    "import cred_pg as c\n",
    "\n",
    "# None = unbegrenzt\n",
    "pd.set_option(\"display.max_rows\", 50)\n",
    "pd.set_option(\"display.max_columns\", None)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = create_engine(\n",
    "    f'postgresql://{c.pg_userid}:{c.pg_password}@{c.pg_host}/{c.pg_db}', \n",
    "    connect_args = {\n",
    "        'options': '-c search_path=$user,ugeobln,umisc,umobility,usozmed,public', \n",
    "        'keepalives_idle': 120\n",
    "    },\n",
    "    pool_size=1, \n",
    "    max_overflow=0,\n",
    "    execution_options={ 'isolation_level': 'AUTOCOMMIT' }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>sales_month</th>\n",
       "      <th>kind_of_business</th>\n",
       "      <th>sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>Used car dealers</td>\n",
       "      <td>1744.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>Automotive parts, acc., and tire stores</td>\n",
       "      <td>3023.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>Furniture and home furnishings stores</td>\n",
       "      <td>3846.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>Furniture, home furn, electronics, and applian...</td>\n",
       "      <td>7503.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-01-01</td>\n",
       "      <td>Furniture stores</td>\n",
       "      <td>2392.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21835</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Hobby, toy, and game stores</td>\n",
       "      <td>2265.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21836</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Book stores</td>\n",
       "      <td>1037.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21837</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>General merchandise stores</td>\n",
       "      <td>77648.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21838</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Department stores</td>\n",
       "      <td>18403.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21839</th>\n",
       "      <td>2019-12-01</td>\n",
       "      <td>Department stores(excl. discount department st...</td>\n",
       "      <td>6561.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21840 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sales_month                                   kind_of_business    sales\n",
       "0      1992-01-01                                   Used car dealers   1744.0\n",
       "1      1992-01-01            Automotive parts, acc., and tire stores   3023.0\n",
       "2      1992-01-01              Furniture and home furnishings stores   3846.0\n",
       "3      1992-01-01  Furniture, home furn, electronics, and applian...   7503.0\n",
       "4      1992-01-01                                   Furniture stores   2392.0\n",
       "...           ...                                                ...      ...\n",
       "21835  2019-12-01                        Hobby, toy, and game stores   2265.0\n",
       "21836  2019-12-01                                        Book stores   1037.0\n",
       "21837  2019-12-01                         General merchandise stores  77648.0\n",
       "21838  2019-12-01                                  Department stores  18403.0\n",
       "21839  2019-12-01  Department stores(excl. discount department st...   6561.0\n",
       "\n",
       "[21840 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT sales_month, kind_of_business, sales\n",
    "FROM retail_sales\n",
    "ORDER BY 1\n",
    ";\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>kind_of_business</th>\n",
       "      <th>anz</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>All other gen. merchandise stores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>All other home furnishings stores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Automobile and other motor vehicle dealers</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Automobile dealers</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Automotive parts, acc., and tire stores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Supermarkets and other grocery (except conveni...</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Used car dealers</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Used merchandise stores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Warehouse clubs and superstores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Women's clothing stores</td>\n",
       "      <td>336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>65 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     kind_of_business  anz\n",
       "0                   All other gen. merchandise stores  336\n",
       "1                   All other home furnishings stores  336\n",
       "2          Automobile and other motor vehicle dealers  336\n",
       "3                                  Automobile dealers  336\n",
       "4             Automotive parts, acc., and tire stores  336\n",
       "..                                                ...  ...\n",
       "60  Supermarkets and other grocery (except conveni...  336\n",
       "61                                   Used car dealers  336\n",
       "62                            Used merchandise stores  336\n",
       "63                    Warehouse clubs and superstores  336\n",
       "64                            Women's clothing stores  336\n",
       "\n",
       "[65 rows x 2 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "select kind_of_business, count(*) as anz\n",
    "FROM retail_sales\n",
    "group by 1\n",
    "ORDER BY 1\n",
    ";\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Mit Lösung"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select sales_month, sales\n",
    "from retail_sales\n",
    "where kind_of_business = 'Retail and food services sales, total'\n",
    "order by sales_month\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sales_month', ylabel='Dollar (million)'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('sales_month').plot(\n",
    "    figsize=(10,6),\n",
    "    ylabel=\"Dollar (million)\", \n",
    "    legend=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select date_part('year',sales_month) as sales_year, sum(sales) as sales\n",
    "from retail_sales\n",
    "where kind_of_business = 'Retail and food services sales, total'\n",
    "group by 1\n",
    "order by 1\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sales_year', ylabel='Dollar (million)'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.set_index('sales_year').plot(\n",
    "    figsize=(10,6),\n",
    "    ylabel=\"Dollar (million)\", \n",
    "    legend=True\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select \n",
    "  date_part('year',sales_month) as sales_year,\n",
    "  kind_of_business,\n",
    "  sum(sales) as sales\n",
    "from retail_sales\n",
    "where kind_of_business in ('Book stores','Sporting goods stores','Hobby, toy, and game stores')\n",
    "group by 1,2\n",
    "order by 1,2\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sales_year', ylabel='sales, Dollar (million)'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.pivot(index='sales_year', columns='kind_of_business', values='sales').plot(\n",
    "    figsize=(10,6),\n",
    "    ylabel=\"sales, Dollar (million)\"\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select \n",
    "  cast(date_part('year',sales_month) as integer) as sales_year,\n",
    "  kind_of_business,\n",
    "  sum(sales) as sales\n",
    "from retail_sales\n",
    "where kind_of_business in ('Men''s clothing stores','Women''s clothing stores')\n",
    "group by 1,2\n",
    "order by 1\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='sales_year', ylabel='sales, Dollar (million)'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.pivot(index='sales_year', columns='kind_of_business', values='sales').plot.bar(\n",
    "    figsize=(10,6),\n",
    "    ylabel=\"sales, Dollar (million)\", \n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ohne Lösung"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "# df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "select 'dummy' as dummy\n",
    "\"\"\"\n",
    "with engine.connect() as con:\n",
    "    df = pd.read_sql_query(text(sql), con)\n",
    "df"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.9.6 ('work')",
   "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": "3.10.10"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "2d6fa041adfecd6e27df7d45c6447a3fc1437381c85a5efcc15b960708d9d702"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}