Case Study #2 - Pizza Runner.ipynb

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    "# Case Study \\#2 - Pizza Runner\n",
    "\n",
    "## Introduction\n",
    "Did you know that over 115 million kilograms of pizza is consumed daily worldwide??? (Well according to Wikipedia anyway…)\n",
    "\n",
    "Danny was scrolling through his Instagram feed when something really caught his eye - “80s Retro Styling and Pizza Is The Future!”\n",
    "\n",
    "Danny was sold on the idea, but he knew that pizza alone was not going to help him get seed funding to expand his new Pizza Empire - so he had one more genius idea to combine with it - he was going to Uberize it - and so Pizza Runner was launched!\n",
    "\n",
    "Danny started by recruiting “runners” to deliver fresh pizza from Pizza Runner Headquarters (otherwise known as Danny’s house) and also maxed out his credit card to pay freelance developers to build a mobile app to accept orders from customers.\n",
    "\n",
    "## Available Data\n",
    "Because Danny had a few years of experience as a data scientist - he was very aware that data collection was going to be critical for his business’ growth.\n",
    "\n",
    "He has prepared for us an entity relationship diagram of his database design but requires further assistance to clean his data and apply some basic calculations so he can better direct his runners and optimise Pizza Runner’s operations.\n",
    "\n",
    "All datasets exist within the pizza_runner database schema - be sure to include this reference within your SQL scripts as you start exploring the data and answering the case study questions.\n",
    "\n",
    "![ERD.png](./ERD.png)\n",
    "\n",
    "---\n",
    "\n",
    "### Table 1: runners\n",
    "The runners table shows the registration_date for each new runner\n",
    "\n",
    "|runner_id | registration_date |\n",
    "| ----------- | ----------- |\n",
    "|1 | 2021-01-01 |\n",
    "|2 | 2021-01-03 |\n",
    "|3 | 2021-01-08 |\n",
    "|4 | 2021-01-15 |\n",
    "\n",
    "### Table 2: customer_orders\n",
    "Customer pizza orders are captured in the customer_orders table with 1 row for each individual pizza that is part of the order.\n",
    "\n",
    "The pizza_id relates to the type of pizza which was ordered whilst the exclusions are the ingredient_id values which should be removed from the pizza and the extras are the ingredient_id values which need to be added to the pizza.\n",
    "\n",
    "Note that customers can order multiple pizzas in a single order with varying exclusions and extras values even if the pizza is the same type!\n",
    "\n",
    "The exclusions and extras columns will need to be cleaned up before using them in your queries.\n",
    "\n",
    "| order_id |customer_id | pizza_id | exclusions | extras | order_time |\n",
    "| ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |\n",
    "| 1 |101 | 1 |     | \t | 2021-01-01 18:05:02 |\n",
    "| 2 |101 | 1 |     | \t | 2021-01-01 19:00:52 |\n",
    "| 3 |102 | 1 |     |\t | 2021-01-02 23:51:23 |\n",
    "| 3 |102 | 2 |     | NaN | 2021-01-02 23:51:23 |\n",
    "| 4 |103 | 1 | 4   |     | 2021-01-04 13:23:46 |\n",
    "| 4 |103 | 1 | 4   |     | 2021-01-04 13:23:46 |\n",
    "| 4 |103 | 2 | 4   |     | 2021-01-04 13:23:46 |\n",
    "| 5 |104 | 1 | null|1    | 2021-01-08 21:00:29 |\n",
    "| 6 |101 | 2 | null|null | 2021-01-08 21:03:13 |\n",
    "| 7 |105 | 2 | null|1\t | 2021-01-08 21:20:29 |\n",
    "| 8 |102 | 1 | null|null | 2021-01-09 23:54:33 |\n",
    "| 9 |103 | 1 | 4   |1, 5 | 2021-01-10 11:22:59 |\n",
    "| 10 |104| 1 | null|null | 2021-01-11 18:34:49 |\n",
    "| 10 |104| 1 | 2, 6|1, 4 | 2021-01-11 18:34:49 |\n",
    "\n",
    "### Table 3: runner_orders\n",
    "After each orders are received through the system - they are assigned to a runner - however not all orders are fully completed and can be cancelled by the restaurant or the customer.\n",
    "\n",
    "The pickup_time is the timestamp at which the runner arrives at the Pizza Runner headquarters to pick up the freshly cooked pizzas. The distance and duration fields are related to how far and long the runner had to travel to deliver the order to the respective customer.\n",
    "\n",
    "There are some known data issues with this table so be careful when using this in your queries - make sure to check the data types for each column in the schema SQL!\n",
    "\n",
    "|order_id|\trunner_id|\tpickup_time|distance |duration |cancellation|\n",
    "| ----------- | ----------- | ----------- | ----------- | ----------- | ----------- |\n",
    "|1|\t1|\t2021-01-01 18:15:34\t|20km|\t32 minutes\t| |\n",
    "|2|\t1|\t2021-01-01 19:10:54\t|20km|\t27 minutes|\t |\n",
    "|3|\t1|\t2021-01-03 00:12:37\t|13.4km|\t20 mins|\tNaN|\n",
    "|4|\t2|\t2021-01-04 13:53:03\t|23.4|\t40\t|NaN|\n",
    "|5|\t3|\t2021-01-08 21:10:57\t|10|\t15\t|NaN|\n",
    "|6|\t3|\tnull|\tnull|\tnull|\tRestaurant Cancellation|\n",
    "|7|\t2|\t2020-01-08 21:30:45|\t25km|\t25mins|\tnull|\n",
    "|8|\t2|\t2020-01-10 00:15:02|\t23.4 km|\t15 minute|\tnull|\n",
    "|9|\t2|\tnull|\tnull\t|null\t|Customer Cancellation|\n",
    "|10|\t1|\t2020-01-11 18:50:20|\t10km\t|10minutes\t|null|\n",
    "\n",
    "### Table 4: pizza_names\n",
    "At the moment - Pizza Runner only has 2 pizzas available the Meat Lovers or Vegetarian!\n",
    "\n",
    "|pizza_id |\tpizza_name |\n",
    "| ----------- | ----------- |\n",
    "|1 |\tMeat Lovers |\n",
    "|2 |\tVegetarian |\n",
    "\n",
    "### Table 5: pizza_recipes\n",
    "Each pizza_id has a standard set of toppings which are used as part of the pizza recipe.\n",
    "\n",
    "|pizza_id\t|toppings|\n",
    "| ----------- | ----------- |\n",
    "|1\t        |1, 2, 3, 4, 5, 6, 8, 10|\n",
    "|2\t        |4, 6, 7, 9, 11, 12|\n",
    "\n",
    "### Table 6: pizza_toppings\n",
    "This table contains all of the topping_name values with their corresponding topping_id value\n",
    "\n",
    "|topping_id|\ttopping_name|\n",
    "| ----------- | ----------- |\n",
    "|1|\tBacon|\n",
    "|2|\tBBQ Sauce|\n",
    "|3|\tBeef|\n",
    "|4|\tCheese|\n",
    "|5|\tChicken|\n",
    "|6|\tMushrooms|\n",
    "|7|\tOnions|\n",
    "|8|\tPepperoni|\n",
    "|9|\tPeppers|\n",
    "|10|\tSalami|\n",
    "|11|\tTomatoes|\n",
    "|12|\tTomato Sauce|\n"
   ]
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   "id": "9d23278e",
   "metadata": {},
   "source": [
    "## PART I: Connecting to DB\n",
    "\n",
    "### 1- Establish Connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ac17354",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql\n",
    "from sqlalchemy import create_engine\n",
    "conn_text = 'postgresql://{}:{}@{}/{}'.format(\n",
    "    pg_user, pg_password, pg_host, pg_db\n",
    ")\n",
    "\n",
    "%sql $conn_text\n",
    "engine = create_engine(conn_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f4ad0a2",
   "metadata": {},
   "source": [
    " ### 2-Create DB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "70566612",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "Done.\n",
      "Done.\n",
      "Done.\n",
      "4 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "14 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "10 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "2 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "2 rows affected.\n",
      "Done.\n",
      "Done.\n",
      "12 rows affected.\n"
     ]
    },
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   "source": [
    "%%sql\n",
    "\n",
    "CREATE SCHEMA IF NOT EXISTS pizza_runner;\n",
    "SET search_path = pizza_runner;\n",
    "\n",
    "DROP TABLE IF EXISTS runners CASCADE;\n",
    "CREATE TABLE runners (\n",
    "  \"runner_id\" INTEGER,\n",
    "  \"registration_date\" DATE\n",
    ");\n",
    "INSERT INTO runners\n",
    "  (\"runner_id\", \"registration_date\")\n",
    "VALUES\n",
    "  (1, '2021-01-01'),\n",
    "  (2, '2021-01-03'),\n",
    "  (3, '2021-01-08'),\n",
    "  (4, '2021-01-15');\n",
    "\n",
    "\n",
    "DROP TABLE IF EXISTS customer_orders CASCADE;\n",
    "CREATE TABLE customer_orders (\n",
    "  \"order_id\" INTEGER,\n",
    "  \"customer_id\" INTEGER,\n",
    "  \"pizza_id\" INTEGER,\n",
    "  \"exclusions\" VARCHAR(4),\n",
    "  \"extras\" VARCHAR(4),\n",
    "  \"order_time\" TIMESTAMP\n",
    ");\n",
    "\n",
    "INSERT INTO customer_orders\n",
    "  (\"order_id\", \"customer_id\", \"pizza_id\", \"exclusions\", \"extras\", \"order_time\")\n",
    "VALUES\n",
    "  ('1', '101', '1', '', '', '2020-01-01 18:05:02'),\n",
    "  ('2', '101', '1', '', '', '2020-01-01 19:00:52'),\n",
    "  ('3', '102', '1', '', '', '2020-01-02 23:51:23'),\n",
    "  ('3', '102', '2', '', NULL, '2020-01-02 23:51:23'),\n",
    "  ('4', '103', '1', '4', '', '2020-01-04 13:23:46'),\n",
    "  ('4', '103', '1', '4', '', '2020-01-04 13:23:46'),\n",
    "  ('4', '103', '2', '4', '', '2020-01-04 13:23:46'),\n",
    "  ('5', '104', '1', 'null', '1', '2020-01-08 21:00:29'),\n",
    "  ('6', '101', '2', 'null', 'null', '2020-01-08 21:03:13'),\n",
    "  ('7', '105', '2', 'null', '1', '2020-01-08 21:20:29'),\n",
    "  ('8', '102', '1', 'null', 'null', '2020-01-09 23:54:33'),\n",
    "  ('9', '103', '1', '4', '1, 5', '2020-01-10 11:22:59'),\n",
    "  ('10', '104', '1', 'null', 'null', '2020-01-11 18:34:49'),\n",
    "  ('10', '104', '1', '2, 6', '1, 4', '2020-01-11 18:34:49');\n",
    "\n",
    "\n",
    "DROP TABLE IF EXISTS runner_orders CASCADE;\n",
    "CREATE TABLE runner_orders (\n",
    "  \"order_id\" INTEGER,\n",
    "  \"runner_id\" INTEGER,\n",
    "  \"pickup_time\" VARCHAR(19),\n",
    "  \"distance\" VARCHAR(7),\n",
    "  \"duration\" VARCHAR(10),\n",
    "  \"cancellation\" VARCHAR(23)\n",
    ");\n",
    "\n",
    "INSERT INTO runner_orders\n",
    "  (\"order_id\", \"runner_id\", \"pickup_time\", \"distance\", \"duration\", \"cancellation\")\n",
    "VALUES\n",
    "  ('1', '1', '2020-01-01 18:15:34', '20km', '32 minutes', ''),\n",
    "  ('2', '1', '2020-01-01 19:10:54', '20km', '27 minutes', ''),\n",
    "  ('3', '1', '2020-01-03 00:12:37', '13.4km', '20 mins', NULL),\n",
    "  ('4', '2', '2020-01-04 13:53:03', '23.4', '40', NULL),\n",
    "  ('5', '3', '2020-01-08 21:10:57', '10', '15', NULL),\n",
    "  ('6', '3', 'null', 'null', 'null', 'Restaurant Cancellation'),\n",
    "  ('7', '2', '2020-01-08 21:30:45', '25km', '25mins', 'null'),\n",
    "  ('8', '2', '2020-01-10 00:15:02', '23.4 km', '15 minute', 'null'),\n",
    "  ('9', '2', 'null', 'null', 'null', 'Customer Cancellation'),\n",
    "  ('10', '1', '2020-01-11 18:50:20', '10km', '10minutes', 'null');\n",
    "\n",
    "\n",
    "DROP TABLE IF EXISTS pizza_names CASCADE;\n",
    "CREATE TABLE pizza_names (\n",
    "  \"pizza_id\" INTEGER,\n",
    "  \"pizza_name\" TEXT\n",
    ");\n",
    "INSERT INTO pizza_names\n",
    "  (\"pizza_id\", \"pizza_name\")\n",
    "VALUES\n",
    "  (1, 'Meatlovers'),\n",
    "  (2, 'Vegetarian');\n",
    "\n",
    "\n",
    "DROP TABLE IF EXISTS pizza_recipes;\n",
    "CREATE TABLE pizza_recipes (\n",
    "  \"pizza_id\" INTEGER,\n",
    "  \"toppings\" TEXT\n",
    ");\n",
    "INSERT INTO pizza_recipes\n",
    "  (\"pizza_id\", \"toppings\")\n",
    "VALUES\n",
    "  (1, '1, 2, 3, 4, 5, 6, 8, 10'),\n",
    "  (2, '4, 6, 7, 9, 11, 12');\n",
    "\n",
    "\n",
    "DROP TABLE IF EXISTS pizza_toppings;\n",
    "CREATE TABLE pizza_toppings (\n",
    "  \"topping_id\" INTEGER,\n",
    "  \"topping_name\" TEXT\n",
    ");\n",
    "INSERT INTO pizza_toppings\n",
    "  (\"topping_id\", \"topping_name\")\n",
    "VALUES\n",
    "  (1, 'Bacon'),\n",
    "  (2, 'BBQ Sauce'),\n",
    "  (3, 'Beef'),\n",
    "  (4, 'Cheese'),\n",
    "  (5, 'Chicken'),\n",
    "  (6, 'Mushrooms'),\n",
    "  (7, 'Onions'),\n",
    "  (8, 'Pepperoni'),\n",
    "  (9, 'Peppers'),\n",
    "  (10, 'Salami'),\n",
    "  (11, 'Tomatoes'),\n",
    "  (12, 'Tomato Sauce');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f76702f9",
   "metadata": {},
   "source": [
    "### 3- Checking DB created successfully"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "41a0f60f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>runner_id</th>\n",
       "            <th>registration_date</th>\n",
       "            <th>orders</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>2021-01-01</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>2021-01-03</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>2021-01-08</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, datetime.date(2021, 1, 1), 3),\n",
       " (2, datetime.date(2021, 1, 3), 3),\n",
       " (3, datetime.date(2021, 1, 8), 1)]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT\n",
    "    runners.runner_id,\n",
    "    runners.registration_date,\n",
    "    COUNT(DISTINCT runner_orders.order_id) AS orders\n",
    "FROM pizza_runner.runners\n",
    "INNER JOIN pizza_runner.runner_orders\n",
    "    ON runners.runner_id = runner_orders.runner_id\n",
    "WHERE runner_orders.cancellation IS NOT NULL\n",
    "GROUP BY\n",
    "    runners.runner_id,\n",
    "    runners.registration_date;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68e9b20a",
   "metadata": {},
   "source": [
    "## PART II: Exploring DB\n",
    "\n",
    "### 1- checking tables.columns and dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "397853b5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "140 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>ordinal_position</th>\n",
       "            <th>table_name</th>\n",
       "            <th>column_name</th>\n",
       "            <th>data_type</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>customer_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>exclusions</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>extras</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>customer_orders</td>\n",
       "            <td>order_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>customer_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>exclusions</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>extras</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>customer_orders_clean</td>\n",
       "            <td>order_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>date_dim</td>\n",
       "            <td>date</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>exclusions_extras_dim</td>\n",
       "            <td>exc_ext_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>exclusions_extras_dim</td>\n",
       "            <td>concat_exclusions</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>exclusions_extras_dim</td>\n",
       "            <td>concat_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>exclusions_extras_dim</td>\n",
       "            <td>exclusions_or_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>order_id</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>bacon</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>bbq_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>beef</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>cheese</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>chicken</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>mushrooms</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>onions</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>pepperoni</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>peppers</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>salami</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>tomatoes</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>tomato_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>15</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>concat_toppings</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>16</td>\n",
       "            <td>execlusions_inclusions_dim</td>\n",
       "            <td>exclusions_or_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>init_exclusions_extras_dim</td>\n",
       "            <td>exc_ext_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>init_exclusions_extras_dim</td>\n",
       "            <td>concat_exclusions</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>init_exclusions_extras_dim</td>\n",
       "            <td>concat_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>init_exclusions_extras_dim</td>\n",
       "            <td>exclusions_or_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>customer_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>exc_ext_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>order_date</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>pickup_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>duration</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>expected_arrival</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>distance</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>exclusions</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>extras</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>init_order_fact</td>\n",
       "            <td>cancellation</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>customer_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>exc_ext_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>order_date</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>pickup_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>duration</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>expected_arrival</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>distance</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>exclusions</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>extras</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>cancellation</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "            <td>order_fact</td>\n",
       "            <td>rating</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>order_preparing_time</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>order_preparing_time</td>\n",
       "            <td>pizza_numbers</td>\n",
       "            <td>bigint</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>order_preparing_time</td>\n",
       "            <td>preparing_time</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>orders_speed</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>orders_speed</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>orders_speed</td>\n",
       "            <td>distance</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>orders_speed</td>\n",
       "            <td>duration</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>orders_speed</td>\n",
       "            <td>speed (km per min)</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>pizza_name</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>bacon</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>bbq_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>beef</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>cheese</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>chicken</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>mushrooms</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>onions</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>pepperoni</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>peppers</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>salami</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>tomatoes</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>tomato_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>15</td>\n",
       "            <td>pizza_dim</td>\n",
       "            <td>concat_toppings</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>pizza_names</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>pizza_names</td>\n",
       "            <td>pizza_name</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>pizza_recipes</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>pizza_recipes</td>\n",
       "            <td>toppings</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>pizza_toppings</td>\n",
       "            <td>topping_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>pizza_toppings</td>\n",
       "            <td>topping_name</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>pickup_time</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>distance</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>duration</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>runner_orders</td>\n",
       "            <td>cancellation</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>pickup_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>distance</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>duration</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>cancellation</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>runners</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>runners</td>\n",
       "            <td>registration_date</td>\n",
       "            <td>date</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>runners_clean</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>runners_clean</td>\n",
       "            <td>registration_date</td>\n",
       "            <td>date</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>test_al</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>test_al</td>\n",
       "            <td>pizza_name</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>test_al</td>\n",
       "            <td>bacon</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>test_al</td>\n",
       "            <td>bbq_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>test_al</td>\n",
       "            <td>beef</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>test_al</td>\n",
       "            <td>cheese</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>test_al</td>\n",
       "            <td>chicken</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>test_al</td>\n",
       "            <td>mushrooms</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>test_al</td>\n",
       "            <td>onions</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>test_al</td>\n",
       "            <td>pepperoni</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>test_al</td>\n",
       "            <td>peppers</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>test_al</td>\n",
       "            <td>salami</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>test_al</td>\n",
       "            <td>tomatoes</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "            <td>test_al</td>\n",
       "            <td>tomato_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>15</td>\n",
       "            <td>test_al</td>\n",
       "            <td>concat_toppings</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>order_id</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>pizza_id</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>bacon</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>bbq_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>beef</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>cheese</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>chicken</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>mushrooms</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>onions</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>pepperoni</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>peppers</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>salami</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>tomatoes</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>tomato_sauce</td>\n",
       "            <td>boolean</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>15</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>concat_toppings</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>16</td>\n",
       "            <td>updated_exclusions_extras_dim</td>\n",
       "            <td>exclusions_or_extras</td>\n",
       "            <td>text</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'customer_orders', 'order_id', 'integer'),\n",
       " (2, 'customer_orders', 'customer_id', 'integer'),\n",
       " (3, 'customer_orders', 'pizza_id', 'integer'),\n",
       " (4, 'customer_orders', 'exclusions', 'character varying'),\n",
       " (5, 'customer_orders', 'extras', 'character varying'),\n",
       " (6, 'customer_orders', 'order_time', 'timestamp without time zone'),\n",
       " (1, 'customer_orders_clean', 'order_id', 'integer'),\n",
       " (2, 'customer_orders_clean', 'customer_id', 'integer'),\n",
       " (3, 'customer_orders_clean', 'pizza_id', 'integer'),\n",
       " (4, 'customer_orders_clean', 'exclusions', 'character varying'),\n",
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       " (1, 'date_dim', 'date', 'timestamp without time zone'),\n",
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       " (4, 'exclusions_extras_dim', 'exclusions_or_extras', 'text'),\n",
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       " (4, 'execlusions_inclusions_dim', 'bbq_sauce', 'boolean'),\n",
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       " (6, 'execlusions_inclusions_dim', 'cheese', 'boolean'),\n",
       " (7, 'execlusions_inclusions_dim', 'chicken', 'boolean'),\n",
       " (8, 'execlusions_inclusions_dim', 'mushrooms', 'boolean'),\n",
       " (9, 'execlusions_inclusions_dim', 'onions', 'boolean'),\n",
       " (10, 'execlusions_inclusions_dim', 'pepperoni', 'boolean'),\n",
       " (11, 'execlusions_inclusions_dim', 'peppers', 'boolean'),\n",
       " (12, 'execlusions_inclusions_dim', 'salami', 'boolean'),\n",
       " (13, 'execlusions_inclusions_dim', 'tomatoes', 'boolean'),\n",
       " (14, 'execlusions_inclusions_dim', 'tomato_sauce', 'boolean'),\n",
       " (15, 'execlusions_inclusions_dim', 'concat_toppings', 'text'),\n",
       " (16, 'execlusions_inclusions_dim', 'exclusions_or_extras', 'text'),\n",
       " (1, 'init_exclusions_extras_dim', 'exc_ext_id', 'integer'),\n",
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       " (3, 'init_exclusions_extras_dim', 'concat_extras', 'text'),\n",
       " (4, 'init_exclusions_extras_dim', 'exclusions_or_extras', 'text'),\n",
       " (1, 'init_order_fact', 'order_id', 'integer'),\n",
       " (2, 'init_order_fact', 'customer_id', 'integer'),\n",
       " (3, 'init_order_fact', 'pizza_id', 'integer'),\n",
       " (4, 'init_order_fact', 'runner_id', 'integer'),\n",
       " (5, 'init_order_fact', 'exc_ext_id', 'integer'),\n",
       " (6, 'init_order_fact', 'order_date', 'timestamp without time zone'),\n",
       " (7, 'init_order_fact', 'pickup_time', 'timestamp without time zone'),\n",
       " (8, 'init_order_fact', 'duration', 'interval'),\n",
       " (9, 'init_order_fact', 'expected_arrival', 'timestamp without time zone'),\n",
       " (10, 'init_order_fact', 'distance', 'numeric'),\n",
       " (11, 'init_order_fact', 'exclusions', 'character varying'),\n",
       " (12, 'init_order_fact', 'extras', 'character varying'),\n",
       " (13, 'init_order_fact', 'cancellation', 'character varying'),\n",
       " (1, 'order_fact', 'order_id', 'integer'),\n",
       " (2, 'order_fact', 'customer_id', 'integer'),\n",
       " (3, 'order_fact', 'pizza_id', 'integer'),\n",
       " (4, 'order_fact', 'runner_id', 'integer'),\n",
       " (5, 'order_fact', 'exc_ext_id', 'integer'),\n",
       " (6, 'order_fact', 'order_date', 'timestamp without time zone'),\n",
       " (7, 'order_fact', 'pickup_time', 'timestamp without time zone'),\n",
       " (8, 'order_fact', 'duration', 'interval'),\n",
       " (9, 'order_fact', 'expected_arrival', 'timestamp without time zone'),\n",
       " (10, 'order_fact', 'distance', 'numeric'),\n",
       " (11, 'order_fact', 'exclusions', 'character varying'),\n",
       " (12, 'order_fact', 'extras', 'character varying'),\n",
       " (13, 'order_fact', 'cancellation', 'character varying'),\n",
       " (14, 'order_fact', 'rating', 'integer'),\n",
       " (1, 'order_preparing_time', 'order_id', 'integer'),\n",
       " (2, 'order_preparing_time', 'pizza_numbers', 'bigint'),\n",
       " (3, 'order_preparing_time', 'preparing_time', 'interval'),\n",
       " (1, 'orders_speed', 'order_id', 'integer'),\n",
       " (2, 'orders_speed', 'runner_id', 'integer'),\n",
       " (3, 'orders_speed', 'distance', 'numeric'),\n",
       " (4, 'orders_speed', 'duration', 'interval'),\n",
       " (5, 'orders_speed', 'speed (km per min)', 'numeric'),\n",
       " (1, 'pizza_dim', 'pizza_id', 'integer'),\n",
       " (2, 'pizza_dim', 'pizza_name', 'text'),\n",
       " (3, 'pizza_dim', 'bacon', 'boolean'),\n",
       " (4, 'pizza_dim', 'bbq_sauce', 'boolean'),\n",
       " (5, 'pizza_dim', 'beef', 'boolean'),\n",
       " (6, 'pizza_dim', 'cheese', 'boolean'),\n",
       " (7, 'pizza_dim', 'chicken', 'boolean'),\n",
       " (8, 'pizza_dim', 'mushrooms', 'boolean'),\n",
       " (9, 'pizza_dim', 'onions', 'boolean'),\n",
       " (10, 'pizza_dim', 'pepperoni', 'boolean'),\n",
       " (11, 'pizza_dim', 'peppers', 'boolean'),\n",
       " (12, 'pizza_dim', 'salami', 'boolean'),\n",
       " (13, 'pizza_dim', 'tomatoes', 'boolean'),\n",
       " (14, 'pizza_dim', 'tomato_sauce', 'boolean'),\n",
       " (15, 'pizza_dim', 'concat_toppings', 'text'),\n",
       " (1, 'pizza_names', 'pizza_id', 'integer'),\n",
       " (2, 'pizza_names', 'pizza_name', 'text'),\n",
       " (1, 'pizza_recipes', 'pizza_id', 'integer'),\n",
       " (2, 'pizza_recipes', 'toppings', 'text'),\n",
       " (1, 'pizza_toppings', 'topping_id', 'integer'),\n",
       " (2, 'pizza_toppings', 'topping_name', 'text'),\n",
       " (1, 'runner_orders', 'order_id', 'integer'),\n",
       " (2, 'runner_orders', 'runner_id', 'integer'),\n",
       " (3, 'runner_orders', 'pickup_time', 'character varying'),\n",
       " (4, 'runner_orders', 'distance', 'character varying'),\n",
       " (5, 'runner_orders', 'duration', 'character varying'),\n",
       " (6, 'runner_orders', 'cancellation', 'character varying'),\n",
       " (1, 'runner_orders_clean', 'order_id', 'integer'),\n",
       " (2, 'runner_orders_clean', 'runner_id', 'integer'),\n",
       " (3, 'runner_orders_clean', 'pickup_time', 'timestamp without time zone'),\n",
       " (4, 'runner_orders_clean', 'distance', 'numeric'),\n",
       " (5, 'runner_orders_clean', 'duration', 'interval'),\n",
       " (6, 'runner_orders_clean', 'cancellation', 'character varying'),\n",
       " (1, 'runners', 'runner_id', 'integer'),\n",
       " (2, 'runners', 'registration_date', 'date'),\n",
       " (1, 'runners_clean', 'runner_id', 'integer'),\n",
       " (2, 'runners_clean', 'registration_date', 'date'),\n",
       " (1, 'test_al', 'pizza_id', 'integer'),\n",
       " (2, 'test_al', 'pizza_name', 'text'),\n",
       " (3, 'test_al', 'bacon', 'boolean'),\n",
       " (4, 'test_al', 'bbq_sauce', 'boolean'),\n",
       " (5, 'test_al', 'beef', 'boolean'),\n",
       " (6, 'test_al', 'cheese', 'boolean'),\n",
       " (7, 'test_al', 'chicken', 'boolean'),\n",
       " (8, 'test_al', 'mushrooms', 'boolean'),\n",
       " (9, 'test_al', 'onions', 'boolean'),\n",
       " (10, 'test_al', 'pepperoni', 'boolean'),\n",
       " (11, 'test_al', 'peppers', 'boolean'),\n",
       " (12, 'test_al', 'salami', 'boolean'),\n",
       " (13, 'test_al', 'tomatoes', 'boolean'),\n",
       " (14, 'test_al', 'tomato_sauce', 'boolean'),\n",
       " (15, 'test_al', 'concat_toppings', 'text'),\n",
       " (1, 'updated_exclusions_extras_dim', 'order_id', 'numeric'),\n",
       " (2, 'updated_exclusions_extras_dim', 'pizza_id', 'numeric'),\n",
       " (3, 'updated_exclusions_extras_dim', 'bacon', 'boolean'),\n",
       " (4, 'updated_exclusions_extras_dim', 'bbq_sauce', 'boolean'),\n",
       " (5, 'updated_exclusions_extras_dim', 'beef', 'boolean'),\n",
       " (6, 'updated_exclusions_extras_dim', 'cheese', 'boolean'),\n",
       " (7, 'updated_exclusions_extras_dim', 'chicken', 'boolean'),\n",
       " (8, 'updated_exclusions_extras_dim', 'mushrooms', 'boolean'),\n",
       " (9, 'updated_exclusions_extras_dim', 'onions', 'boolean'),\n",
       " (10, 'updated_exclusions_extras_dim', 'pepperoni', 'boolean'),\n",
       " (11, 'updated_exclusions_extras_dim', 'peppers', 'boolean'),\n",
       " (12, 'updated_exclusions_extras_dim', 'salami', 'boolean'),\n",
       " (13, 'updated_exclusions_extras_dim', 'tomatoes', 'boolean'),\n",
       " (14, 'updated_exclusions_extras_dim', 'tomato_sauce', 'boolean'),\n",
       " (15, 'updated_exclusions_extras_dim', 'concat_toppings', 'text'),\n",
       " (16, 'updated_exclusions_extras_dim', 'exclusions_or_extras', 'text')]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT ordinal_position, table_name, column_name, data_type\n",
    "FROM INFORMATION_SCHEMA.columns\n",
    "WHERE table_schema = 'pizza_runner'\n",
    "ORDER BY table_name, ordinal_position;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "00229e6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>?column?</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>exclusions: ( | 2, 6 | 4 | null)</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>cancellation: ( | Customer Cancellation | Restaurant Cancellation | null)</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>pizza_recipes: (1, 2, 3, 4, 5, 6, 8, 10 | 4, 6, 7, 9, 11, 12)</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>pizza_name: (Meatlovers | Vegetarian)</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>extras: ( | 1 | 1, 4 | 1, 5 | null)</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('exclusions: ( | 2, 6 | 4 | null)',),\n",
       " ('cancellation: ( | Customer Cancellation | Restaurant Cancellation | null)',),\n",
       " ('pizza_recipes: (1, 2, 3, 4, 5, 6, 8, 10 | 4, 6, 7, 9, 11, 12)',),\n",
       " ('pizza_name: (Meatlovers | Vegetarian)',),\n",
       " ('extras: ( | 1 | 1, 4 | 1, 5 | null)',)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- explore missing and unique values for each table\n",
    "\n",
    "SELECT 'exclusions: (' || string_agg(DISTINCT exclusions, ' | ') || ')' FROM customer_orders\n",
    "UNION\n",
    "SELECT 'extras: (' || string_agg(DISTINCT extras, ' | ') || ')' FROM customer_orders\n",
    "UNION\n",
    "SELECT 'pizza_name: (' || string_agg(DISTINCT pizza_name, ' | ') || ')' FROM pizza_names\n",
    "UNION\n",
    "SELECT 'pizza_recipes: (' || string_agg(DISTINCT toppings, ' | ') || ')' FROM pizza_recipes\n",
    "UNION\n",
    "SELECT 'cancellation: (' || string_agg(DISTINCT cancellation, ' | ') || ')' FROM runner_orders;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63fa553d",
   "metadata": {},
   "source": [
    "#### Notes\n",
    "##### we have 6 tables, wrangling and cleaning requirments\n",
    ". RELATIONS AND TYPES: \n",
    " - [x] customer_orders(exclusions, extras) --> trim, replace null and empty with null\n",
    " - [x] runner_orders(pickup_time to timestamp & duration to interval, distance to int, cancellation nan, null, and empty to null)\n",
    "\n",
    ". ADDED COLUMNS: \n",
    " - [x] add expected_arrival column (runner_order)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d2f0b78",
   "metadata": {},
   "source": [
    "### 2- Clean Tables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20269aeb",
   "metadata": {},
   "source": [
    "#### i) customer_orders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dab345c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "14 rows affected.\n",
      "9 rows affected.\n",
      "9 rows affected.\n",
      "14 rows affected.\n"
     ]
    },
    {
     "data": {
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       "<table>\n",
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       "            <th>pizza_id</th>\n",
       "            <th>exclusions</th>\n",
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       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>101</td>\n",
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       "            <td>None</td>\n",
       "            <td>2020-01-01 18:05:02</td>\n",
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       "        <tr>\n",
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       "            <td>101</td>\n",
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       "            <td>2020-01-01 19:00:52</td>\n",
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       "            <td>102</td>\n",
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       "            <td>2020-01-02 23:51:23</td>\n",
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       "            <td>3</td>\n",
       "            <td>102</td>\n",
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       "            <td>2020-01-02 23:51:23</td>\n",
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       "        <tr>\n",
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       "            <td>103</td>\n",
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       "            <td>4</td>\n",
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       "            <td>2020-01-04 13:23:46</td>\n",
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       "            <td>4</td>\n",
       "            <td>103</td>\n",
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       "            <td>2020-01-04 13:23:46</td>\n",
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       "        <tr>\n",
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       "            <td>103</td>\n",
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       "            <td>2020-01-04 13:23:46</td>\n",
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       "            <td>104</td>\n",
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       "            <td>2020-01-08 21:00:29</td>\n",
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       "            <td>2020-01-09 23:54:33</td>\n",
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       "            <td>4</td>\n",
       "            <td>1, 5</td>\n",
       "            <td>2020-01-10 11:22:59</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>104</td>\n",
       "            <td>1</td>\n",
       "            <td>2, 6</td>\n",
       "            <td>1, 4</td>\n",
       "            <td>2020-01-11 18:34:49</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>104</td>\n",
       "            <td>1</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-11 18:34:49</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 101, 1, None, None, datetime.datetime(2020, 1, 1, 18, 5, 2)),\n",
       " (2, 101, 1, None, None, datetime.datetime(2020, 1, 1, 19, 0, 52)),\n",
       " (3, 102, 1, None, None, datetime.datetime(2020, 1, 2, 23, 51, 23)),\n",
       " (3, 102, 2, None, None, datetime.datetime(2020, 1, 2, 23, 51, 23)),\n",
       " (4, 103, 1, '4', None, datetime.datetime(2020, 1, 4, 13, 23, 46)),\n",
       " (4, 103, 1, '4', None, datetime.datetime(2020, 1, 4, 13, 23, 46)),\n",
       " (4, 103, 2, '4', None, datetime.datetime(2020, 1, 4, 13, 23, 46)),\n",
       " (5, 104, 1, None, '1', datetime.datetime(2020, 1, 8, 21, 0, 29)),\n",
       " (6, 101, 2, None, None, datetime.datetime(2020, 1, 8, 21, 3, 13)),\n",
       " (7, 105, 2, None, '1', datetime.datetime(2020, 1, 8, 21, 20, 29)),\n",
       " (8, 102, 1, None, None, datetime.datetime(2020, 1, 9, 23, 54, 33)),\n",
       " (9, 103, 1, '4', '1, 5', datetime.datetime(2020, 1, 10, 11, 22, 59)),\n",
       " (10, 104, 1, '2, 6', '1, 4', datetime.datetime(2020, 1, 11, 18, 34, 49)),\n",
       " (10, 104, 1, None, None, datetime.datetime(2020, 1, 11, 18, 34, 49))]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "DROP TABLE IF EXISTS customer_orders_clean;\n",
    "\n",
    "CREATE TABLE customer_orders_clean AS (\n",
    "    SELECT * FROM customer_orders\n",
    ");\n",
    "\n",
    "UPDATE customer_orders_clean\n",
    "    SET exclusions= NULL WHERE exclusions IN ('null', '');\n",
    "UPDATE customer_orders_clean\n",
    "    SET extras= NULL WHERE extras IN ('null', '');\n",
    "    \n",
    "\n",
    "SELECT * FROM customer_orders_clean \n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "406fcbd2",
   "metadata": {},
   "source": [
    "#### ii) runner_orders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "fe6e8e56",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "10 rows affected.\n",
      "2 rows affected.\n",
      "2 rows affected.\n",
      "2 rows affected.\n",
      "5 rows affected.\n",
      "10 rows affected.\n",
      "Done.\n",
      "6 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>ordinal_position</th>\n",
       "            <th>table_name</th>\n",
       "            <th>column_name</th>\n",
       "            <th>data_type</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>order_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>runner_id</td>\n",
       "            <td>integer</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>pickup_time</td>\n",
       "            <td>timestamp without time zone</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>distance</td>\n",
       "            <td>numeric</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>duration</td>\n",
       "            <td>interval</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>runner_orders_clean</td>\n",
       "            <td>cancellation</td>\n",
       "            <td>character varying</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'runner_orders_clean', 'order_id', 'integer'),\n",
       " (2, 'runner_orders_clean', 'runner_id', 'integer'),\n",
       " (3, 'runner_orders_clean', 'pickup_time', 'timestamp without time zone'),\n",
       " (4, 'runner_orders_clean', 'distance', 'numeric'),\n",
       " (5, 'runner_orders_clean', 'duration', 'interval'),\n",
       " (6, 'runner_orders_clean', 'cancellation', 'character varying')]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "DROP TABLE IF EXISTS runner_orders_clean;\n",
    "\n",
    "CREATE TABLE IF NOT EXISTS runner_orders_clean AS (\n",
    "    SELECT * FROM runner_orders\n",
    ");\n",
    "\n",
    "-- REPLACE 'null' with NULL\n",
    "UPDATE runner_orders_clean\n",
    "    SET pickup_time = NULL WHERE pickup_time = 'null';\n",
    "UPDATE runner_orders_clean\n",
    "    SET duration = NULL WHERE duration = 'null';\n",
    "UPDATE runner_orders_clean\n",
    "    SET distance = NULL WHERE distance = 'null';\n",
    "UPDATE runner_orders_clean\n",
    "    SET cancellation = NULL WHERE cancellation IN ('null', '');\n",
    "\n",
    "\n",
    "UPDATE runner_orders_clean\n",
    "    SET duration = REPLACE( REPLACE( REPLACE(\n",
    "        TRIM(duration), 'minute', ''), 's', ''), 'min', '') || 'm',\n",
    "    distance = REPLACE( TRIM(distance), 'km', '');\n",
    "    \n",
    "\n",
    "    \n",
    "-- CAST COLUMNS\n",
    "ALTER TABLE runner_orders_clean \n",
    "    ALTER COLUMN pickup_time TYPE TIMESTAMP USING pickup_time::timestamp without time zone,\n",
    "    ALTER COLUMN distance TYPE NUMERIC USING distance::numeric,\n",
    "    ALTER COLUMN duration TYPE INTERVAL USING duration::interval;\n",
    "        \n",
    "-- CHECK COLUMNS DTYPE\n",
    "SELECT ordinal_position, table_name, column_name, data_type\n",
    "FROM INFORMATION_SCHEMA.columns\n",
    "WHERE table_name = 'runner_orders_clean';"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "81b4b54e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "10 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>runner_id</th>\n",
       "            <th>pickup_time</th>\n",
       "            <th>distance</th>\n",
       "            <th>duration</th>\n",
       "            <th>cancellation</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-03 00:12:37</td>\n",
       "            <td>13.4</td>\n",
       "            <td>0:20:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-04 13:53:03</td>\n",
       "            <td>23.4</td>\n",
       "            <td>0:40:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>3</td>\n",
       "            <td>2020-01-08 21:10:57</td>\n",
       "            <td>10</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>3</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>Restaurant Cancellation</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>2</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>Customer Cancellation</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-01 18:15:34</td>\n",
       "            <td>20</td>\n",
       "            <td>0:32:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-01 19:10:54</td>\n",
       "            <td>20</td>\n",
       "            <td>0:27:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-08 21:30:45</td>\n",
       "            <td>25</td>\n",
       "            <td>0:25:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-10 00:15:02</td>\n",
       "            <td>23.4</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-11 18:50:20</td>\n",
       "            <td>10</td>\n",
       "            <td>0:10:00</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(3, 1, datetime.datetime(2020, 1, 3, 0, 12, 37), Decimal('13.4'), datetime.timedelta(seconds=1200), None),\n",
       " (4, 2, datetime.datetime(2020, 1, 4, 13, 53, 3), Decimal('23.4'), datetime.timedelta(seconds=2400), None),\n",
       " (5, 3, datetime.datetime(2020, 1, 8, 21, 10, 57), Decimal('10'), datetime.timedelta(seconds=900), None),\n",
       " (6, 3, None, None, None, 'Restaurant Cancellation'),\n",
       " (9, 2, None, None, None, 'Customer Cancellation'),\n",
       " (1, 1, datetime.datetime(2020, 1, 1, 18, 15, 34), Decimal('20'), datetime.timedelta(seconds=1920), None),\n",
       " (2, 1, datetime.datetime(2020, 1, 1, 19, 10, 54), Decimal('20'), datetime.timedelta(seconds=1620), None),\n",
       " (7, 2, datetime.datetime(2020, 1, 8, 21, 30, 45), Decimal('25'), datetime.timedelta(seconds=1500), None),\n",
       " (8, 2, datetime.datetime(2020, 1, 10, 0, 15, 2), Decimal('23.4'), datetime.timedelta(seconds=900), None),\n",
       " (10, 1, datetime.datetime(2020, 1, 11, 18, 50, 20), Decimal('10'), datetime.timedelta(seconds=600), None)]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM runner_orders_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5fd28c8",
   "metadata": {},
   "source": [
    "## 3- Modeling\n",
    "\n",
    "To simplify Queries, let's merge customer and runner orders in one order_fact table.\n",
    "\n",
    " - [X] order_fact [\n",
    "     order_id,\n",
    "     customer_id,\n",
    "     runner_id,\n",
    "     pizza_id,\n",
    "     pickup_time,\n",
    "     order_date,\n",
    "     duration,\n",
    "     expected_arrival,\n",
    "     distance,\n",
    "     exclusions,\n",
    "     extras,\n",
    "     cancellation]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdd3d3d6",
   "metadata": {},
   "source": [
    "### i) Create Order Fact Table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc145d76",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "14 rows affected.\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>customer_id</th>\n",
       "            <th>pizza_id</th>\n",
       "            <th>runner_id</th>\n",
       "            <th>exc_ext_id</th>\n",
       "            <th>order_date</th>\n",
       "            <th>pickup_time</th>\n",
       "            <th>duration</th>\n",
       "            <th>expected_arrival</th>\n",
       "            <th>distance</th>\n",
       "            <th>exclusions</th>\n",
       "            <th>extras</th>\n",
       "            <th>cancellation</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>101</td>\n",
       "            <td>1</td>\n",
       "            <td>1</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-01 18:05:02</td>\n",
       "            <td>2020-01-01 18:15:34</td>\n",
       "            <td>0:32:00</td>\n",
       "            <td>2020-01-01 18:47:34</td>\n",
       "            <td>20</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>101</td>\n",
       "            <td>1</td>\n",
       "            <td>1</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-01 19:00:52</td>\n",
       "            <td>2020-01-01 19:10:54</td>\n",
       "            <td>0:27:00</td>\n",
       "            <td>2020-01-01 19:37:54</td>\n",
       "            <td>20</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>102</td>\n",
       "            <td>1</td>\n",
       "            <td>1</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-02 23:51:23</td>\n",
       "            <td>2020-01-03 00:12:37</td>\n",
       "            <td>0:20:00</td>\n",
       "            <td>2020-01-03 00:32:37</td>\n",
       "            <td>13.4</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 101, 1, 1, None, datetime.datetime(2020, 1, 1, 18, 5, 2), datetime.datetime(2020, 1, 1, 18, 15, 34), datetime.timedelta(seconds=1920), datetime.datetime(2020, 1, 1, 18, 47, 34), Decimal('20'), None, None, None),\n",
       " (2, 101, 1, 1, None, datetime.datetime(2020, 1, 1, 19, 0, 52), datetime.datetime(2020, 1, 1, 19, 10, 54), datetime.timedelta(seconds=1620), datetime.datetime(2020, 1, 1, 19, 37, 54), Decimal('20'), None, None, None),\n",
       " (3, 102, 1, 1, None, datetime.datetime(2020, 1, 2, 23, 51, 23), datetime.datetime(2020, 1, 3, 0, 12, 37), datetime.timedelta(seconds=1200), datetime.datetime(2020, 1, 3, 0, 32, 37), Decimal('13.4'), None, None, None)]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- CREATE order_fact\n",
    "DROP TABLE IF EXISTS order_fact CASCADE;\n",
    "\n",
    "CREATE TABLE IF NOT EXISTS order_fact AS\n",
    "    SELECT\n",
    "        customer_orders_clean.order_id,\n",
    "        customer_id,\n",
    "        pizza_id,\n",
    "        runner_id,\n",
    "        CASE WHEN exclusions IS NOT NULL OR extras IS NOT NULL\n",
    "            THEN floor(random() * 1000000 + 1)::int END AS exc_ext_id,\n",
    "        order_time AS order_date,\n",
    "        pickup_time,\n",
    "        duration,\n",
    "        pickup_time + duration AS expected_arrival,\n",
    "        distance,\n",
    "        exclusions,\n",
    "        extras,\n",
    "        cancellation\n",
    "    FROM customer_orders_clean\n",
    "    JOIN runner_orders_clean\n",
    "    USING(order_id)\n",
    "    ORDER BY 1;\n",
    "    \n",
    "SELECT *\n",
    "FROM order_fact\n",
    "LIMIT 3;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b4ca8e5",
   "metadata": {},
   "source": [
    "### ii) Create Date Dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bfded89f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "11 rows affected.\n",
      "11 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2020-01-01 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-02 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-03 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-04 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-05 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-06 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-07 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-08 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-09 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-10 18:05:02</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-01-11 18:05:02</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.datetime(2020, 1, 1, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 2, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 3, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 4, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 5, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 6, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 7, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 8, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 9, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 10, 18, 5, 2),),\n",
       " (datetime.datetime(2020, 1, 11, 18, 5, 2),)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "DROP TABLE IF EXISTS date_dim;\n",
    "\n",
    "CREATE TABLE IF NOT EXISTS date_dim AS\n",
    "    SELECT \n",
    "        generate_series(min_date, max_date, '1 day'::INTERVAL) AS date\n",
    "    FROM (\n",
    "        SELECT MIN(order_date) AS min_date, MAX(order_date) AS max_date\n",
    "        FROM order_fact\n",
    "    ) AS date_intervals;\n",
    "    \n",
    "SELECT *\n",
    "FROM date_dim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8692d78a",
   "metadata": {},
   "source": [
    "#### iii) spliting toppings to fixed-positional columns with concatenated desc, then denormalizing pizza_names, pizza_recipes, pizza_toppings in to single dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8bc440d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_id</th>\n",
       "            <th>pizza_name</th>\n",
       "            <th>toppings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>bbq_sauce,pepperoni,cheese,salami,chicken,bacon,mushrooms,beef</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>tomato_sauce,cheese,mushrooms,onions,peppers,tomatoes</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Meatlovers', 'bbq_sauce,pepperoni,cheese,salami,chicken,bacon,mushrooms,beef'),\n",
       " (2, 'Vegetarian', 'tomato_sauce,cheese,mushrooms,onions,peppers,tomatoes')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "CREATE OR REPLACE VIEW pizza_r2 AS (\n",
    "    SELECT \n",
    "        pizza_id,\n",
    "        pizza_name,\n",
    "        LOWER(REPLACE(STRING_AGG(topping_name, ','), ' ', '_')) AS toppings\n",
    "    FROM pizza_names\n",
    "    JOIN (\n",
    "        SELECT\n",
    "            pizza_id,\n",
    "            UNNEST(REGEXP_MATCHES(toppings, '[0-9]{1,2}','g'))::INTEGER AS topping_id\n",
    "        FROM pizza_recipes\n",
    "    ) splitted_recipes\n",
    "    USING(pizza_id)\n",
    "    JOIN pizza_toppings\n",
    "    USING(topping_id)\n",
    "    GROUP BY 1, 2\n",
    ");\n",
    "\n",
    "SELECT * FROM pizza_r2;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "06b4c9ae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "2 rows affected.\n",
      "Done.\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_id</th>\n",
       "            <th>pizza_name</th>\n",
       "            <th>bacon</th>\n",
       "            <th>bbq_sauce</th>\n",
       "            <th>beef</th>\n",
       "            <th>cheese</th>\n",
       "            <th>chicken</th>\n",
       "            <th>mushrooms</th>\n",
       "            <th>onions</th>\n",
       "            <th>pepperoni</th>\n",
       "            <th>peppers</th>\n",
       "            <th>salami</th>\n",
       "            <th>tomatoes</th>\n",
       "            <th>tomato_sauce</th>\n",
       "            <th>concat_toppings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Meatlovers', None, None, None, None, None, None, None, None, None, None, None, None, None),\n",
       " (2, 'Vegetarian', None, None, None, None, None, None, None, None, None, None, None, None, None)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "DROP TABLE IF EXISTS pizza_dim;\n",
    "\n",
    "CREATE TABLE IF NOT EXISTS pizza_dim AS (\n",
    "    SELECT pizza_id, pizza_name\n",
    "    FROM pizza_names\n",
    ");\n",
    "\n",
    "-- 1) create toppings columns\n",
    "DO $$\n",
    "DECLARE\n",
    "    col TEXT;\n",
    "\n",
    "BEGIN\n",
    "  -- Generate column dynamically\n",
    "  FOR col IN\n",
    "    SELECT toppings[i]\n",
    "    FROM (\n",
    "        SELECT\n",
    "            string_to_array(\n",
    "                STRING_AGG(topping_name, ','), ',') AS toppings,\n",
    "            generate_series(1, \n",
    "                array_length(\n",
    "                    string_to_array(\n",
    "                        STRING_AGG(topping_name, ','), ','), 1)) AS i\n",
    "        FROM pizza_toppings\n",
    "    ) subquery\n",
    "  LOOP\n",
    "    EXECUTE 'ALTER TABLE pizza_dim ADD COLUMN ' || replace(col, ' ', '_') || ' BOOL';\n",
    "  END LOOP;\n",
    "        EXECUTE 'ALTER TABLE pizza_dim ADD COLUMN concat_toppings TEXT';\n",
    "END $$;\n",
    "\n",
    "SELECT * FROM pizza_dim;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4ff1285b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_id</th>\n",
       "            <th>pizza_name</th>\n",
       "            <th>bacon</th>\n",
       "            <th>bbq_sauce</th>\n",
       "            <th>beef</th>\n",
       "            <th>cheese</th>\n",
       "            <th>chicken</th>\n",
       "            <th>mushrooms</th>\n",
       "            <th>onions</th>\n",
       "            <th>pepperoni</th>\n",
       "            <th>peppers</th>\n",
       "            <th>salami</th>\n",
       "            <th>tomatoes</th>\n",
       "            <th>tomato_sauce</th>\n",
       "            <th>concat_toppings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>bacon,bbq_sauce,beef,cheese,chicken,mushrooms,pepperoni,salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>cheese,mushrooms,onions,peppers,tomatoes,tomato_sauce</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Meatlovers', True, True, True, True, True, True, False, True, False, True, False, False, 'bacon,bbq_sauce,beef,cheese,chicken,mushrooms,pepperoni,salami'),\n",
       " (2, 'Vegetarian', False, False, False, True, False, True, True, False, True, False, True, True, 'cheese,mushrooms,onions,peppers,tomatoes,tomato_sauce')]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- FILL Boolean columns \n",
    "DO $$\n",
    "DECLARE\n",
    "    p_id INT;\n",
    "    query_text TEXT;\n",
    "    record_toppings TEXT;\n",
    "    col_name TEXT;\n",
    "    condition TEXT;\n",
    "    column_names TEXT[] := (\n",
    "        SELECT\n",
    "            string_to_array(\n",
    "                REPLACE(STRING_AGG(topping_name, ','), ' ', '_'), ',')\n",
    "            AS toppings\n",
    "        FROM pizza_toppings\n",
    "    );\n",
    "BEGIN\n",
    "    -- Iterate over pizza_ids\n",
    "    FOR p_id IN SELECT pizza_id FROM pizza_dim\n",
    "    LOOP\n",
    "        query_text := 'UPDATE pizza_dim SET ';\n",
    "\n",
    "        -- Iterate over columns\n",
    "        FOR col_name IN \n",
    "            SELECT col[i]\n",
    "            FROM (\n",
    "                SELECT column_names AS col,\n",
    "                    generate_series(1, array_length(column_names, 1), 1) AS i\n",
    "            ) subquery\n",
    "        LOOP\n",
    "            \n",
    "            -- current pizza_toppings\n",
    "            record_toppings := (\n",
    "                SELECT toppings FROM pizza_r2 WHERE pizza_id=p_id\n",
    "            );\n",
    "            \n",
    "            condition := CASE \n",
    "                WHEN record_toppings ILIKE '%' || col_name || '%' \n",
    "                THEN 'TRUE' \n",
    "                ELSE 'FALSE' END;\n",
    "        \n",
    "            query_text := query_text || col_name || '=' || condition || ', ';\n",
    "        END LOOP;\n",
    "        query_text := query_text || 'concat_toppings= '''|| record_toppings || '''';\n",
    "        query_text := query_text || ' WHERE pizza_id = ' || p_id || ';';\n",
    "\n",
    "        EXECUTE query_text;\n",
    "    END LOOP;\n",
    "END $$;\n",
    "\n",
    "SELECT * FROM pizza_dim;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32093d30",
   "metadata": {},
   "source": [
    "#### b) repeat steps for execlusions_inclusions_dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6796bf73",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "Done.\n",
      "7 rows affected.\n",
      "7 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>exc_ext_id</th>\n",
       "            <th>concat_exclusions</th>\n",
       "            <th>concat_extras</th>\n",
       "            <th>exclusions_or_extras</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>87242</td>\n",
       "            <td>None</td>\n",
       "            <td>1</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>433564</td>\n",
       "            <td>4</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>588917</td>\n",
       "            <td>4</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>638446</td>\n",
       "            <td>2, 6</td>\n",
       "            <td>1, 4</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>678602</td>\n",
       "            <td>None</td>\n",
       "            <td>1</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>720427</td>\n",
       "            <td>4</td>\n",
       "            <td>1, 5</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>967343</td>\n",
       "            <td>4</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(87242, None, '1', 'extras'),\n",
       " (433564, '4', None, 'exclusions'),\n",
       " (588917, '4', None, 'exclusions'),\n",
       " (638446, '2, 6', '1, 4', 'both'),\n",
       " (678602, None, '1', 'extras'),\n",
       " (720427, '4', '1, 5', 'both'),\n",
       " (967343, '4', None, 'exclusions')]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "DROP TABLE IF EXISTS init_exclusions_extras_dim CASCADE;\n",
    "\n",
    "CREATE TABLE IF NOT EXISTS init_exclusions_extras_dim (\n",
    "    exc_ext_id INT,\n",
    "    concat_exclusions TEXT,\n",
    "    concat_extras TEXT,\n",
    "    exclusions_or_extras TEXT\n",
    ");\n",
    "\n",
    "INSERT INTO init_exclusions_extras_dim \n",
    "    (exc_ext_id, concat_exclusions, concat_extras, exclusions_or_extras)\n",
    "SELECT\n",
    "    exc_ext_id,\n",
    "    exclusions AS concat_exclusions,\n",
    "    extras AS concat_extras,\n",
    "    CASE \n",
    "        WHEN exclusions IS NOT NULL AND extras IS NOT NULL \n",
    "            THEN 'both'\n",
    "        WHEN exclusions IS NOT NULL\n",
    "            THEN 'exclusions'\n",
    "        WHEN extras IS NOT NULL\n",
    "            THEN 'extras'\n",
    "        ELSE NULL END AS exclusions_or_extras       \n",
    "FROM order_fact\n",
    "WHERE exclusions IS NOT NULL OR extras IS NOT NULL\n",
    "ORDER BY 1, 2;\n",
    "\n",
    "\n",
    "SELECT * FROM init_exclusions_extras_dim;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "71650d37",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "7 rows affected.\n",
      "7 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>exc_ext_id</th>\n",
       "            <th>concat_exclusions</th>\n",
       "            <th>concat_extras</th>\n",
       "            <th>exclusions_or_extras</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>87242</td>\n",
       "            <td>None</td>\n",
       "            <td>bacon</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>433564</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>588917</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>638446</td>\n",
       "            <td>bbq_sauce,mushrooms</td>\n",
       "            <td>bacon,cheese</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>678602</td>\n",
       "            <td>None</td>\n",
       "            <td>bacon</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>720427</td>\n",
       "            <td>cheese</td>\n",
       "            <td>bacon,chicken</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>967343</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(87242, None, 'bacon', 'extras'),\n",
       " (433564, 'cheese', None, 'exclusions'),\n",
       " (588917, 'cheese', None, 'exclusions'),\n",
       " (638446, 'bbq_sauce,mushrooms', 'bacon,cheese', 'both'),\n",
       " (678602, None, 'bacon', 'extras'),\n",
       " (720427, 'cheese', 'bacon,chicken', 'both'),\n",
       " (967343, 'cheese', None, 'exclusions')]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "DROP TABLE IF EXISTS exclusions_extras_dim CASCADE;\n",
    "CREATE TABLE IF NOT EXISTS exclusions_extras_dim AS (\n",
    "    SELECT\n",
    "        exc_ext_id,\n",
    "        (\n",
    "            SELECT LOWER(REPLACE(STRING_AGG(topping_name, ','), ' ', '_'))\n",
    "            FROM (\n",
    "                SELECT DISTINCT unnest(string_to_array(concat_exclusions, ', '))::integer AS topping_id\n",
    "                FROM init_exclusions_extras_dim\n",
    "                WHERE exc_ext_id = e.exc_ext_id\n",
    "            ) AS subquery\n",
    "            JOIN pizza_toppings\n",
    "            ON subquery.topping_id = pizza_toppings.topping_id\n",
    "        ) AS concat_exclusions,\n",
    "        (\n",
    "            SELECT LOWER(REPLACE(STRING_AGG(topping_name, ','), ' ', '_'))\n",
    "            FROM (\n",
    "                SELECT DISTINCT unnest(string_to_array(concat_extras, ', '))::integer AS topping_id\n",
    "                FROM init_exclusions_extras_dim\n",
    "                WHERE exc_ext_id = e.exc_ext_id\n",
    "            ) AS subquery\n",
    "            JOIN pizza_toppings\n",
    "            ON subquery.topping_id = pizza_toppings.topping_id\n",
    "        ) AS concat_extras,\n",
    "        exclusions_or_extras\n",
    "    FROM init_exclusions_extras_dim AS e\n",
    ");\n",
    "\n",
    "SELECT * FROM exclusions_extras_dim;"
   ]
  },
  {
   "attachments": {
    "modeled_erd.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "54c0fa6a",
   "metadata": {},
   "source": [
    "### Final Schema\n",
    "![modeled_erd.png](attachment:modeled_erd.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd9cc335",
   "metadata": {},
   "source": [
    "## PART III: Reporting\n",
    "\n",
    "### 1- Pizza Metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cab203f",
   "metadata": {},
   "source": [
    "#### i) How many pizzas were ordered?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dcd67ffe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>14</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(14,)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT count(*)\n",
    "FROM order_fact;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "734f9e11",
   "metadata": {},
   "source": [
    "#### ii) How many unique customer orders were made?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0c2fdabc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(10,)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT count(DISTINCT order_id)\n",
    "FROM order_fact;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a22c8f9",
   "metadata": {},
   "source": [
    "#### iii) How many successful orders were delivered by each runner?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4a9147b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>runner_id</th>\n",
       "            <th>successful_orders</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 4), (2, 3), (3, 1)]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT runner_id, COUNT(DISTINCT order_id) AS successful_orders\n",
    "FROM order_fact\n",
    "WHERE cancellation IS NULL\n",
    "GROUP BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3101395c",
   "metadata": {},
   "source": [
    "#### iv) How many of each type of pizza was delivered?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1a492a65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_name</th>\n",
       "            <th>delivered</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Meatlovers', 9), ('Vegetarian', 3)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT pizza_name, count(*) AS delivered\n",
    "FROM order_fact\n",
    "JOIN pizza_names\n",
    "USING(pizza_id)\n",
    "WHERE cancellation IS NULL\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46801902",
   "metadata": {},
   "source": [
    "#### v) How many Vegetarian and Meatlovers were ordered by each customer?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8df53e57",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>customer_id</th>\n",
       "            <th>meat_lovers_count</th>\n",
       "            <th>vegetarian_count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>101</td>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>102</td>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>103</td>\n",
       "            <td>3</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>104</td>\n",
       "            <td>3</td>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>105</td>\n",
       "            <td>0</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(101, 2, 1), (102, 2, 1), (103, 3, 1), (104, 3, 0), (105, 0, 1)]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    customer_id, \n",
    "    SUM(CASE WHEN pizza_id = 1 THEN 1 ELSE 0 END) AS meat_lovers_count,\n",
    "    SUM(CASE WHEN pizza_id = 2 THEN 1 ELSE 0 END) AS vegetarian_count\n",
    "FROM order_fact\n",
    "JOIN pizza_names\n",
    "USING(pizza_id)\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed1d76f6",
   "metadata": {},
   "source": [
    "#### vi) What was the maximum number of pizzas delivered in a single order?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "67547328",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>max_pizzas_delivered</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(4, 3)]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT order_id, count(*) AS max_pizzas_delivered\n",
    "FROM order_fact\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC\n",
    "LIMIT 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33e781ae",
   "metadata": {},
   "source": [
    "#### vii) For each customer, how many delivered pizzas had at least 1 change and how many had no changes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0bd304f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>customer_id</th>\n",
       "            <th>changed_order</th>\n",
       "            <th>non_changed_order</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>101</td>\n",
       "            <td>0</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>102</td>\n",
       "            <td>0</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>103</td>\n",
       "            <td>3</td>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>104</td>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>105</td>\n",
       "            <td>1</td>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(101, 0, 2), (102, 0, 3), (103, 3, 0), (104, 2, 1), (105, 1, 0)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    customer_id, \n",
    "    SUM(CASE WHEN exc_ext_id IS NOT NULL THEN 1 ELSE 0 END) AS changed_order,\n",
    "    SUM(CASE WHEN exc_ext_id IS NULL THEN 1 ELSE 0 END) AS non_changed_order\n",
    "FROM order_fact as o\n",
    "LEFT JOIN exclusions_extras_dim as e\n",
    "USING(exc_ext_id)\n",
    "WHERE cancellation IS NULL\n",
    "GROUP BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "727938c6",
   "metadata": {},
   "source": [
    "#### viii) How many pizzas were delivered that had both exclusions and extras?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "cc208e41",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(0,)]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT COUNT(DISTINCT exc_ext_id)\n",
    "FROM order_fact\n",
    "WHERE MOD(exc_ext_id::int, 10) = 0  AND cancellation IS NOT NULL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "825c1a83",
   "metadata": {},
   "source": [
    "#### ix) What was the total volume of pizzas ordered for each hour of the day?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b4253145",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "6 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>hod</th>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>11</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>13</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>18</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>19</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>21</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>23</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('11'), 1),\n",
       " (Decimal('13'), 3),\n",
       " (Decimal('18'), 3),\n",
       " (Decimal('19'), 1),\n",
       " (Decimal('21'), 3),\n",
       " (Decimal('23'), 3)]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- for hours of the day\n",
    "/* WITH hours_of_day AS ( SELECT generate_series(1, 24, 1) AS hod)\n",
    "\n",
    "SELECT \n",
    "    h.hod,\n",
    "    COALESCE(count, 0) AS orders\n",
    "FROM hours_of_day as h\n",
    "LEFT JOIN (\n",
    "    SELECT \n",
    "        EXTRACT(hour FROM order_date) AS hod,\n",
    "        Count(*)\n",
    "    FROM order_fact\n",
    "    GROUP BY 1\n",
    ") AS order_per_hour\n",
    "USING(hod)\n",
    "ORDER BY 1; */\n",
    "\n",
    "SELECT \n",
    "    EXTRACT(hour FROM order_date) AS hod,\n",
    "    Count(*)\n",
    "FROM order_fact\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a58c611a",
   "metadata": {},
   "source": [
    "#### x) What was the volume of orders for each day of the week?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c8e15c8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "4 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>day_of_week</th>\n",
       "            <th>order_count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Wednesday</td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Thursday </td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Friday   </td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Saturday </td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Wednesday', 5), ('Thursday ', 3), ('Friday   ', 1), ('Saturday ', 5)]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    TO_CHAR(order_date, 'Day') AS day_of_week,\n",
    "    Count(*) AS order_count\n",
    "FROM order_fact\n",
    "GROUP BY day_of_week, DATE_PART('dow', order_date)\n",
    "ORDER BY DATE_PART('dow', order_date);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef0c1aca",
   "metadata": {},
   "source": [
    "### 2- Runner and Customer Experience"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99494f91",
   "metadata": {},
   "source": [
    "#### i) How many runners signed up for each 1 week period? (i.e. week starts 2021-01-01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "709ace81",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2021-01-01</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2021-01-08</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2021-01-15</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.date(2021, 1, 1), 2),\n",
       " (datetime.date(2021, 1, 8), 1),\n",
       " (datetime.date(2021, 1, 15), 1)]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    (date_trunc('week', registration_date) + INTERVAL '4 DAYS')::DATE,\n",
    "    count(*)    \n",
    "FROM runners\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d57258f6",
   "metadata": {},
   "source": [
    "#### ii-a) What was the average time in minutes it took for each runner to arrive at the Pizza Runner HQ to pickup the order?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e6679c9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>runner_id</th>\n",
       "            <th>avg_min</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>15</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>23</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>10</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, Decimal('15')), (2, Decimal('23')), (3, Decimal('10'))]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    runner_id,\n",
    "    EXTRACT( MINUTES FROM AVG(pickup_time - order_date)) AS AVG_MIN\n",
    "FROM order_fact\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a62f2159",
   "metadata": {},
   "source": [
    "#### ii-b) What is the average pick-up time in minutes  for the orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "61bb8cfe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>avg_pickup_time</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>15.98</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('15.98'),)]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "WITH distinct_orders AS (\n",
    "    SELECT DISTINCT\n",
    "        order_id,\n",
    "        EXTRACT( EPOCH FROM (pickup_time - order_date)) / 60 AS pickup_time\n",
    "    FROM order_fact\n",
    ")\n",
    "\n",
    "SELECT round(avg(pickup_time), 2) AS avg_pickup_time\n",
    "FROM distinct_orders"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc2abe8",
   "metadata": {},
   "source": [
    "#### iii) Is there any relationship between the number of pizzas and how long the order takes to prepare?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6ad90b53",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_numbers</th>\n",
       "            <th>avg_prep_time</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>12.36</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>18.38</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>29.28</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, Decimal('12.36')), (2, Decimal('18.38')), (3, Decimal('29.28'))]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "-- assumption that pickup_time represent when the pizza is prepared\n",
    "\n",
    "CREATE VIEW order_preparing_time AS (\n",
    "    SELECT \n",
    "        order_id,\n",
    "        count(*) AS pizza_numbers,\n",
    "        MAX(pickup_time - order_date) AS preparing_time\n",
    "    FROM order_fact\n",
    "    GROUP BY 1\n",
    ");\n",
    "\n",
    "SELECT \n",
    "    pizza_numbers,\n",
    "    round(avg(EXTRACT( EPOCH FROM preparing_time) / 60), 2) AS avg_prep_time\n",
    "FROM order_preparing_time\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2e3a8ae1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>corr_percent</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>98.64</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('98.64'),)]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "WITH avg_prep_time AS (\n",
    "    SELECT \n",
    "        pizza_numbers,\n",
    "        avg(EXTRACT( EPOCH FROM preparing_time) / 60) AS avg_prep_time\n",
    "    FROM order_preparing_time\n",
    "    GROUP BY 1\n",
    "    ORDER BY 1\n",
    ")\n",
    "\n",
    "SELECT ROUND((corr(pizza_numbers, avg_prep_time) * 100)::NUMERIC, 2) AS corr_percent\n",
    "FROM avg_prep_time;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55702c10",
   "metadata": {},
   "source": [
    ">There appear to be a **strong corrolation** between number of pizzas in order and preparing time; on avarage every **new pizza** add about **10 min** to total_time."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57cfebe2",
   "metadata": {},
   "source": [
    "#### iv) What was the average distance travelled for each customer?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "80098ac5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>customer_id</th>\n",
       "            <th>avg_distance</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>101</td>\n",
       "            <td>20.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>102</td>\n",
       "            <td>18.40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>103</td>\n",
       "            <td>23.40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>104</td>\n",
       "            <td>10.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>105</td>\n",
       "            <td>25.00</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(101, Decimal('20.00')),\n",
       " (102, Decimal('18.40')),\n",
       " (103, Decimal('23.40')),\n",
       " (104, Decimal('10.00')),\n",
       " (105, Decimal('25.00'))]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT customer_id, ROUND(avg(distance), 2) AS avg_distance\n",
    "FROM (\n",
    "    SELECT DISTINCT order_id, customer_id, distance\n",
    "    FROM order_fact\n",
    "    \n",
    ") AS uniq_orders\n",
    "GROUP BY 1\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9539f6c",
   "metadata": {},
   "source": [
    "#### v) What was the difference between the longest and shortest delivery times for all orders?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "361f4e47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>shortest_delivery (min)</th>\n",
       "            <th>longest_delivery (min)</th>\n",
       "            <th>duration_diff (min)</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>10.0</td>\n",
       "            <td>40.0</td>\n",
       "            <td>30.0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(10.0, 40.0, 30.0)]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    DATE_part('min', MIN(duration)) AS \"shortest_delivery (min)\",\n",
    "    DATE_part('min', MAX(duration)) AS \"longest_delivery (min)\",\n",
    "    DATE_part('min', MAX(duration) - MIN(duration)) AS \"duration_diff (min)\"\n",
    "FROM order_fact"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d26a303",
   "metadata": {},
   "source": [
    "#### vi) What was the average speed for each runner for each delivery and do you notice any trend for these values?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a321661d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "10 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>runner_id</th>\n",
       "            <th>distance</th>\n",
       "            <th>duration</th>\n",
       "            <th>speed (km per min)</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>1</td>\n",
       "            <td>20</td>\n",
       "            <td>0:32:00</td>\n",
       "            <td>0.63</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "            <td>20</td>\n",
       "            <td>0:27:00</td>\n",
       "            <td>0.74</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>1</td>\n",
       "            <td>13.4</td>\n",
       "            <td>0:20:00</td>\n",
       "            <td>0.67</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>2</td>\n",
       "            <td>23.4</td>\n",
       "            <td>0:40:00</td>\n",
       "            <td>0.59</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>3</td>\n",
       "            <td>10</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>0.67</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>3</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>2</td>\n",
       "            <td>25</td>\n",
       "            <td>0:25:00</td>\n",
       "            <td>1.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>2</td>\n",
       "            <td>23.4</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>1.56</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>2</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>1</td>\n",
       "            <td>10</td>\n",
       "            <td>0:10:00</td>\n",
       "            <td>1.00</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 1, Decimal('20'), datetime.timedelta(seconds=1920), Decimal('0.63')),\n",
       " (2, 1, Decimal('20'), datetime.timedelta(seconds=1620), Decimal('0.74')),\n",
       " (3, 1, Decimal('13.4'), datetime.timedelta(seconds=1200), Decimal('0.67')),\n",
       " (4, 2, Decimal('23.4'), datetime.timedelta(seconds=2400), Decimal('0.59')),\n",
       " (5, 3, Decimal('10'), datetime.timedelta(seconds=900), Decimal('0.67')),\n",
       " (6, 3, None, None, None),\n",
       " (7, 2, Decimal('25'), datetime.timedelta(seconds=1500), Decimal('1.00')),\n",
       " (8, 2, Decimal('23.4'), datetime.timedelta(seconds=900), Decimal('1.56')),\n",
       " (9, 2, None, None, None),\n",
       " (10, 1, Decimal('10'), datetime.timedelta(seconds=600), Decimal('1.00'))]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "CREATE OR REPLACE VIEW orders_speed AS (\n",
    "    SELECT DISTINCT\n",
    "        order_id,\n",
    "        runner_id,\n",
    "        distance,\n",
    "        duration,\n",
    "        round(\n",
    "            distance / (EXTRACT(EPOCH FROM duration) / 60)\n",
    "            , 2) AS \"speed (km per min)\"\n",
    "    FROM order_fact\n",
    ");\n",
    "\n",
    "SELECT *\n",
    "FROM orders_speed\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "77019377",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>runner_id</th>\n",
       "            <th>round</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>1.05</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>0.76</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>0.67</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2, Decimal('1.05')), (1, Decimal('0.76')), (3, Decimal('0.67'))]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT runner_id, round(avg(\"speed (km per min)\"), 2)\n",
    "FROM orders_speed\n",
    "GROUP BY \n",
    "1\n",
    "ORDER BY 2 DESC;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d204872",
   "metadata": {},
   "source": [
    "with an avarage of 1 km/min runner 2 seems the fastest on delivering orders; without consedration to\n",
    "- number of orders per each\n",
    "- time in day of the order"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9ffe032",
   "metadata": {},
   "source": [
    "#### vii) What is the successful delivery percentage for each runner?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "302b2a07",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>runner_id</th>\n",
       "            <th>successful_orders</th>\n",
       "            <th>total_orders</th>\n",
       "            <th>successful_ratio</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>4</td>\n",
       "            <td>4</td>\n",
       "            <td>1.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>3</td>\n",
       "            <td>4</td>\n",
       "            <td>0.75</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>1</td>\n",
       "            <td>2</td>\n",
       "            <td>0.50</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 4, 4, Decimal('1.00')),\n",
       " (2, 3, 4, Decimal('0.75')),\n",
       " (3, 1, 2, Decimal('0.50'))]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "WITH distinct_orders AS (\n",
    "    SELECT DISTINCT order_id, runner_id, cancellation\n",
    "    FROM order_fact\n",
    "    ORDER BY 1\n",
    "), runner_orders_val AS (\n",
    "    SELECT\n",
    "        runner_id,\n",
    "        SUM(CASE WHEN cancellation IS NULL THEN 1 ELSE 0 END) \n",
    "            AS successful_orders,\n",
    "        count(order_id) AS total_orders\n",
    "    FROM distinct_orders\n",
    "    GROUP BY 1\n",
    ")\n",
    "\n",
    "\n",
    "SELECT *, \n",
    "    ROUND(successful_orders * 1.0 / total_orders, 2) AS successful_ratio\n",
    "FROM runner_orders_val\n",
    "ORDER BY 1;\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c50f3369",
   "metadata": {},
   "source": [
    "### 3- Ingredient Optimisation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "451cc2bc",
   "metadata": {},
   "source": [
    "#### i) What are the standard ingredients for each pizza?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "1c85e0a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_name</th>\n",
       "            <th>toppings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>Cheese, Mushrooms, Onions, Peppers, Tomatoes, Tomato Sauce</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Meatlovers', 'Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " ('Vegetarian', 'Cheese, Mushrooms, Onions, Peppers, Tomatoes, Tomato Sauce')]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT\n",
    "    pizza_name,\n",
    "    INITCAP(REPLACE(REPLACE(concat_toppings, '_', ' '), ',', ', '))\n",
    "        AS toppings\n",
    "FROM pizza_dim;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "961d8100",
   "metadata": {},
   "source": [
    "#### ii) What was the most commonly added extra?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "3d9d328f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "7 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>exc_ext_id</th>\n",
       "            <th>concat_exclusions</th>\n",
       "            <th>concat_extras</th>\n",
       "            <th>exclusions_or_extras</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>87242</td>\n",
       "            <td>None</td>\n",
       "            <td>bacon</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>433564</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>588917</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>638446</td>\n",
       "            <td>bbq_sauce,mushrooms</td>\n",
       "            <td>bacon,cheese</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>678602</td>\n",
       "            <td>None</td>\n",
       "            <td>bacon</td>\n",
       "            <td>extras</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>720427</td>\n",
       "            <td>cheese</td>\n",
       "            <td>bacon,chicken</td>\n",
       "            <td>both</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>967343</td>\n",
       "            <td>cheese</td>\n",
       "            <td>None</td>\n",
       "            <td>exclusions</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(87242, None, 'bacon', 'extras'),\n",
       " (433564, 'cheese', None, 'exclusions'),\n",
       " (588917, 'cheese', None, 'exclusions'),\n",
       " (638446, 'bbq_sauce,mushrooms', 'bacon,cheese', 'both'),\n",
       " (678602, None, 'bacon', 'extras'),\n",
       " (720427, 'cheese', 'bacon,chicken', 'both'),\n",
       " (967343, 'cheese', None, 'exclusions')]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT * FROM exclusions_extras_dim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "12cf94d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>extras</th>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>bacon</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('bacon', 4)]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT extras, count(*)\n",
    "FROM (\n",
    "    SELECT\n",
    "        UNNEST(REGEXP_MATCHES(concat_extras, '[a-z]{1,50}','g')) AS extras\n",
    "    FROM exclusions_extras_dim\n",
    ") subquery\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC\n",
    "LIMIT 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14502d70",
   "metadata": {},
   "source": [
    "#### iii) What was the most common exclusion?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ecfbd48c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>extras</th>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>cheese</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('cheese', 4)]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT extras, count(*)\n",
    "FROM (\n",
    "    SELECT\n",
    "        UNNEST(REGEXP_MATCHES(concat_exclusions, '[a-z]{1,50}','g')) AS extras\n",
    "    FROM exclusions_extras_dim\n",
    ") subquery\n",
    "GROUP BY 1\n",
    "\n",
    "ORDER BY 2 DESC\n",
    "LIMIT 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c143a3e3",
   "metadata": {},
   "source": [
    "> Who are these people? XD:)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c27f5d3f",
   "metadata": {},
   "source": [
    "#### iv) Generate an order item for each record in the customers_orders table in the format of one of the following:\n",
    "Meat Lovers\n",
    "Meat Lovers - Exclude Beef\n",
    "Meat Lovers - Extra Bacon\n",
    "Meat Lovers - Exclude Cheese, Bacon - Extra Mushroom, Peppers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d092c308",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "14 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>order_date</th>\n",
       "            <th>order_item</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-01 18:05:02</td>\n",
       "            <td>Meatlovers</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-01 19:00:52</td>\n",
       "            <td>Meatlovers</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>2020-01-02 23:51:23</td>\n",
       "            <td>Vegetarian</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>2020-01-02 23:51:23</td>\n",
       "            <td>Meatlovers</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-04 13:23:46</td>\n",
       "            <td>Vegetarian - Exclude Cheese</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-04 13:23:46</td>\n",
       "            <td>Meatlovers - Exclude Cheese</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-04 13:23:46</td>\n",
       "            <td>Meatlovers - Exclude Cheese</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>2020-01-08 21:00:29</td>\n",
       "            <td>Meatlovers - Extra Bacon</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>2020-01-08 21:03:13</td>\n",
       "            <td>Vegetarian</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>2020-01-08 21:20:29</td>\n",
       "            <td>Vegetarian - Extra Bacon</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>2020-01-09 23:54:33</td>\n",
       "            <td>Meatlovers</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>2020-01-10 11:22:59</td>\n",
       "            <td>Meatlovers - Exclude Cheese - Extra Bacon, Chicken</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>2020-01-11 18:34:49</td>\n",
       "            <td>Meatlovers</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>2020-01-11 18:34:49</td>\n",
       "            <td>Meatlovers - Exclude Bbq Sauce, Mushrooms - Extra Bacon, Cheese</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, datetime.datetime(2020, 1, 1, 18, 5, 2), 'Meatlovers'),\n",
       " (2, datetime.datetime(2020, 1, 1, 19, 0, 52), 'Meatlovers'),\n",
       " (3, datetime.datetime(2020, 1, 2, 23, 51, 23), 'Vegetarian'),\n",
       " (3, datetime.datetime(2020, 1, 2, 23, 51, 23), 'Meatlovers'),\n",
       " (4, datetime.datetime(2020, 1, 4, 13, 23, 46), 'Vegetarian - Exclude Cheese'),\n",
       " (4, datetime.datetime(2020, 1, 4, 13, 23, 46), 'Meatlovers - Exclude Cheese'),\n",
       " (4, datetime.datetime(2020, 1, 4, 13, 23, 46), 'Meatlovers - Exclude Cheese'),\n",
       " (5, datetime.datetime(2020, 1, 8, 21, 0, 29), 'Meatlovers - Extra Bacon'),\n",
       " (6, datetime.datetime(2020, 1, 8, 21, 3, 13), 'Vegetarian'),\n",
       " (7, datetime.datetime(2020, 1, 8, 21, 20, 29), 'Vegetarian - Extra Bacon'),\n",
       " (8, datetime.datetime(2020, 1, 9, 23, 54, 33), 'Meatlovers'),\n",
       " (9, datetime.datetime(2020, 1, 10, 11, 22, 59), 'Meatlovers - Exclude Cheese - Extra Bacon, Chicken'),\n",
       " (10, datetime.datetime(2020, 1, 11, 18, 34, 49), 'Meatlovers'),\n",
       " (10, datetime.datetime(2020, 1, 11, 18, 34, 49), 'Meatlovers - Exclude Bbq Sauce, Mushrooms - Extra Bacon, Cheese')]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT\n",
    "    order_id,\n",
    "    order_date,\n",
    "    pizza_name::TEXT ||\n",
    "    CASE WHEN concat_exclusions IS NOT NULL\n",
    "        THEN ' - Exclude ' || \n",
    "            INITCAP(REPLACE(\n",
    "                REPLACE(e.concat_exclusions, ',', ', '), '_', ' ')) \n",
    "        ELSE '' END ||\n",
    "    CASE WHEN concat_extras IS NOT NULL \n",
    "        THEN ' - Extra ' ||\n",
    "        INITCAP(REPLACE(\n",
    "            REPLACE(e.concat_extras, ',', ', '), '_', ' '))\n",
    "        ELSE '' END AS order_item\n",
    "FROM order_fact as o\n",
    "JOIN pizza_dim as p\n",
    "USING(pizza_id)\n",
    "LEFT JOIN exclusions_extras_dim as e\n",
    "USING(exc_ext_id)\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ff7ba77",
   "metadata": {},
   "source": [
    "#### v) Generate an alphabetically ordered comma separated ingredient list for each pizza order from the customer_orders table and add a 2x in front of any relevant ingredients For example: \"Meat Lovers: 2xBacon, Beef, ... , Salami\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "af8675b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "10 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>pizza_name</th>\n",
       "            <th>order_item</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>Vegetarian Cheese, Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers Bacon, Bbq Sauce, Beef, Chicken, Mushrooms, Pepperoni, Salami, Bacon, Bbq Sauce, Beef, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>Vegetarian Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers 2XBacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>Vegetarian Bacon, Cheese, Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>Meatlovers 2XBacon, Beef, 2XCheese, Chicken, Pepperoni, Salami, Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Meatlovers', 'Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (2, 'Meatlovers', 'Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (3, 'Meatlovers', 'Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (3, 'Vegetarian', 'Vegetarian Cheese, Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes'),\n",
       " (4, 'Meatlovers', 'Meatlovers Bacon, Bbq Sauce, Beef, Chicken, Mushrooms, Pepperoni, Salami, Bacon, Bbq Sauce, Beef, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (4, 'Vegetarian', 'Vegetarian Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes'),\n",
       " (5, 'Meatlovers', 'Meatlovers 2XBacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (7, 'Vegetarian', 'Vegetarian Bacon, Cheese, Mushrooms, Onions, Peppers, Tomato Sauce, Tomatoes'),\n",
       " (8, 'Meatlovers', 'Meatlovers Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami'),\n",
       " (10, 'Meatlovers', 'Meatlovers 2XBacon, Beef, 2XCheese, Chicken, Pepperoni, Salami, Bacon, Bbq Sauce, Beef, Cheese, Chicken, Mushrooms, Pepperoni, Salami')]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "WITH base AS (\n",
    "    SELECT\n",
    "        order_id,\n",
    "        pizza_name,\n",
    "        exc_ext_id,\n",
    "        UNNEST(string_to_array(concat_toppings, ','))\n",
    "    FROM order_fact\n",
    "    JOIN pizza_dim\n",
    "    USING(pizza_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "exclusions AS (\n",
    "    SELECT\n",
    "        order_id,\n",
    "        pizza_name,\n",
    "        exc_ext_id,\n",
    "        UNNEST(string_to_array(concat_exclusions, ','))\n",
    "    FROM order_fact\n",
    "    JOIN pizza_dim\n",
    "    USING(pizza_id)\n",
    "    JOIN exclusions_extras_dim\n",
    "    USING(exc_ext_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "extras AS (\n",
    "    SELECT\n",
    "        order_id,\n",
    "        pizza_name,\n",
    "        exc_ext_id, UNNEST(string_to_array(concat_extras, ','))\n",
    "    FROM order_fact\n",
    "    JOIN pizza_dim\n",
    "    USING(pizza_id)\n",
    "    JOIN exclusions_extras_dim\n",
    "    USING(exc_ext_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "final_ing AS (\n",
    "    SELECT * FROM base\n",
    "    EXCEPT ALL\n",
    "    SELECT * FROM exclusions\n",
    "    UNION ALL\n",
    "    SELECT * FROM extras\n",
    ")\n",
    "\n",
    "SELECT \n",
    "    order_id,\n",
    "    pizza_name,\n",
    "    pizza_name || ' ' ||\n",
    "    STRING_AGG(\n",
    "        CASE \n",
    "        WHEN count > 1 \n",
    "            THEN count || 'X' || INITCAP(REPLACE(unnest, '_', ' '))\n",
    "        ELSE INITCAP(REPLACE(unnest, '_', ' ')) END\n",
    "    , ', ') AS order_item\n",
    "FROM (\n",
    "    SELECT order_id, pizza_name, exc_ext_id, unnest, count(*)\n",
    "    FROM final_ing\n",
    "    GROUP BY 1,2,3,4\n",
    "    ORDER BY 1,2,3,4\n",
    ") subquery\n",
    "GROUP BY 1,2;\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bafc6de5",
   "metadata": {},
   "source": [
    "#### vi) What is the total quantity of each ingredient used in all delivered pizzas sorted by most frequent first?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "f263a2ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "12 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>unnest</th>\n",
       "            <th>count</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>bacon</td>\n",
       "            <td>12</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>mushrooms</td>\n",
       "            <td>11</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>cheese</td>\n",
       "            <td>10</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>salami</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>pepperoni</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>chicken</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>beef</td>\n",
       "            <td>9</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>bbq_sauce</td>\n",
       "            <td>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>peppers</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>tomato_sauce</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>tomatoes</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>onions</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('bacon', 12),\n",
       " ('mushrooms', 11),\n",
       " ('cheese', 10),\n",
       " ('salami', 9),\n",
       " ('pepperoni', 9),\n",
       " ('chicken', 9),\n",
       " ('beef', 9),\n",
       " ('bbq_sauce', 8),\n",
       " ('peppers', 3),\n",
       " ('tomato_sauce', 3),\n",
       " ('tomatoes', 3),\n",
       " ('onions', 3)]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "WITH base AS (\n",
    "    SELECT\n",
    "        exc_ext_id,\n",
    "        UNNEST(string_to_array(concat_toppings, ','))\n",
    "    FROM order_fact\n",
    "    JOIN pizza_dim\n",
    "    USING(pizza_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "exclusions AS (\n",
    "    SELECT \n",
    "        exc_ext_id,\n",
    "        UNNEST(string_to_array(concat_exclusions, ','))\n",
    "    FROM order_fact\n",
    "    JOIN exclusions_extras_dim\n",
    "    USING(exc_ext_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "extras AS (\n",
    "    SELECT \n",
    "        exc_ext_id, UNNEST(string_to_array(concat_extras, ','))\n",
    "    FROM order_fact\n",
    "    JOIN exclusions_extras_dim\n",
    "    USING(exc_ext_id)\n",
    "    WHERE cancellation IS NULL\n",
    "),\n",
    "final_ing AS (\n",
    "    SELECT * FROM base\n",
    "    EXCEPT ALL\n",
    "    SELECT * FROM exclusions\n",
    "    UNION ALL\n",
    "    SELECT * FROM extras\n",
    ")\n",
    "\n",
    "SELECT unnest, count(*)\n",
    "FROM final_ing\n",
    "GROUP BY 1\n",
    "ORDER BY 2 DESC;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa1d648c",
   "metadata": {},
   "source": [
    "### 4- Pricing and Ratings"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3353b9d",
   "metadata": {},
   "source": [
    "#### i) If a Meat Lovers pizza costs \\\\$12 and Vegetarian costs \\\\$10 and there were no charges for changes - how much money has Pizza Runner made so far if there are no delivery fees?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "fdf7ff59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_name</th>\n",
       "            <th>total_dollars</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>108</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>30</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Meatlovers', 108), ('Vegetarian', 30)]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    pizza_name,\n",
    "    SUM(\n",
    "        CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "    )AS total_dollars\n",
    "FROM order_fact\n",
    "JOIN pizza_dim\n",
    "USING(pizza_id)\n",
    "WHERE cancellation IS NULL\n",
    "GROUP BY 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6b8b3808",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>total_dollars</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>138</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(138,)]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    SUM(\n",
    "        CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "    ) AS total_dollars\n",
    "FROM order_fact\n",
    "JOIN pizza_dim\n",
    "USING(pizza_id)\n",
    "WHERE cancellation IS NULL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65f6f4fa",
   "metadata": {},
   "source": [
    "#### ii) What if there was an additional \\\\$1 charge for any pizza extras?\n",
    "- Add cheese is \\\\$1 extras"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8bd86a3e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_name</th>\n",
       "            <th>total_dollars</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>111</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>31</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Meatlovers', 111), ('Vegetarian', 31)]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    pizza_name,\n",
    "    SUM(\n",
    "        CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "    ) +\n",
    "    SUM(ARRAY_LENGTH(\n",
    "            string_to_array(concat_extras, ','), 1)\n",
    "    )AS total_dollars\n",
    "FROM order_fact\n",
    "JOIN pizza_dim\n",
    "USING(pizza_id)\n",
    "LEFT JOIN exclusions_extras_dim\n",
    "USING(exc_ext_id)\n",
    "WHERE cancellation IS NULL\n",
    "GROUP BY 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "e105df3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>total_dollars</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>142</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(142,)]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    SUM(\n",
    "        CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "    ) +\n",
    "    SUM(ARRAY_LENGTH(\n",
    "            string_to_array(concat_extras, ','), 1)\n",
    "    )AS total_dollars\n",
    "FROM order_fact\n",
    "JOIN pizza_dim\n",
    "USING(pizza_id)\n",
    "LEFT JOIN exclusions_extras_dim\n",
    "USING(exc_ext_id)\n",
    "WHERE cancellation IS NULL;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac2055f1",
   "metadata": {},
   "source": [
    "#### iii) The Pizza Runner team now wants to add an additional ratings system that allows customers to rate their runner, how would you design an additional table for this new dataset - generate a schema for this new table and insert your own data for ratings for each successful customer order between 1 to 5."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "91c1ad5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "Done.\n",
      "Done.\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>rating</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>5</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>4</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 5), (2, 4), (3, 4)]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "ALTER TABLE order_fact\n",
    "    DROP COLUMN IF EXISTS rating,\n",
    "    ADD COLUMN IF NOT EXISTS rating INT;\n",
    "\n",
    "DO $$\n",
    "    DECLARE\n",
    "        ord_id INT;\n",
    "    BEGIN\n",
    "        FOR ord_id IN SELECT order_id FROM order_fact\n",
    "        LOOP\n",
    "            EXECUTE 'UPDATE order_fact SET rating=' ||\n",
    "                floor(random() * 5 + 1) ||\n",
    "                ' WHERE cancellation IS NULL AND order_id = ' || ord_id;\n",
    "        END LOOP;\n",
    "    END $$;\n",
    "\n",
    "SELECT order_id, rating\n",
    "FROM order_fact\n",
    "ORDER BY 1\n",
    "LIMIT 3;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b7af3db",
   "metadata": {},
   "source": [
    "#### iv) Using your newly generated table - can you join all of the information together to form a table which has the following information for successful deliveries?\n",
    "- customer_id\n",
    "- order_id\n",
    "- runner_id\n",
    "- rating\n",
    "- order_time\n",
    "- pickup_time\n",
    "- Time between order and pickup\n",
    "- Delivery duration\n",
    "- Average speed\n",
    "- Total number of pizzas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "199f04d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "10 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>customer_id</th>\n",
       "            <th>runner_id</th>\n",
       "            <th>rating</th>\n",
       "            <th>order_date</th>\n",
       "            <th>pickup_time</th>\n",
       "            <th>Time between order and pickup</th>\n",
       "            <th>duration</th>\n",
       "            <th>speed (km per min)</th>\n",
       "            <th>Total number of pizzas</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>101</td>\n",
       "            <td>1</td>\n",
       "            <td>5</td>\n",
       "            <td>2020-01-01 18:05:02</td>\n",
       "            <td>2020-01-01 18:15:34</td>\n",
       "            <td>0:10:32</td>\n",
       "            <td>0:32:00</td>\n",
       "            <td>0.63</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>101</td>\n",
       "            <td>1</td>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-01 19:00:52</td>\n",
       "            <td>2020-01-01 19:10:54</td>\n",
       "            <td>0:10:02</td>\n",
       "            <td>0:27:00</td>\n",
       "            <td>0.74</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>102</td>\n",
       "            <td>1</td>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-02 23:51:23</td>\n",
       "            <td>2020-01-03 00:12:37</td>\n",
       "            <td>0:21:14</td>\n",
       "            <td>0:20:00</td>\n",
       "            <td>0.67</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>103</td>\n",
       "            <td>2</td>\n",
       "            <td>3</td>\n",
       "            <td>2020-01-04 13:23:46</td>\n",
       "            <td>2020-01-04 13:53:03</td>\n",
       "            <td>0:29:17</td>\n",
       "            <td>0:40:00</td>\n",
       "            <td>0.59</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>104</td>\n",
       "            <td>3</td>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-08 21:00:29</td>\n",
       "            <td>2020-01-08 21:10:57</td>\n",
       "            <td>0:10:28</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>0.67</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>6</td>\n",
       "            <td>101</td>\n",
       "            <td>3</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-08 21:03:13</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>105</td>\n",
       "            <td>2</td>\n",
       "            <td>4</td>\n",
       "            <td>2020-01-08 21:20:29</td>\n",
       "            <td>2020-01-08 21:30:45</td>\n",
       "            <td>0:10:16</td>\n",
       "            <td>0:25:00</td>\n",
       "            <td>1.00</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>102</td>\n",
       "            <td>2</td>\n",
       "            <td>1</td>\n",
       "            <td>2020-01-09 23:54:33</td>\n",
       "            <td>2020-01-10 00:15:02</td>\n",
       "            <td>0:20:29</td>\n",
       "            <td>0:15:00</td>\n",
       "            <td>1.56</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>9</td>\n",
       "            <td>103</td>\n",
       "            <td>2</td>\n",
       "            <td>None</td>\n",
       "            <td>2020-01-10 11:22:59</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>None</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>104</td>\n",
       "            <td>1</td>\n",
       "            <td>2</td>\n",
       "            <td>2020-01-11 18:34:49</td>\n",
       "            <td>2020-01-11 18:50:20</td>\n",
       "            <td>0:15:31</td>\n",
       "            <td>0:10:00</td>\n",
       "            <td>1.00</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 101, 1, 5, datetime.datetime(2020, 1, 1, 18, 5, 2), datetime.datetime(2020, 1, 1, 18, 15, 34), datetime.timedelta(seconds=632), datetime.timedelta(seconds=1920), Decimal('0.63'), 1),\n",
       " (2, 101, 1, 4, datetime.datetime(2020, 1, 1, 19, 0, 52), datetime.datetime(2020, 1, 1, 19, 10, 54), datetime.timedelta(seconds=602), datetime.timedelta(seconds=1620), Decimal('0.74'), 1),\n",
       " (3, 102, 1, 4, datetime.datetime(2020, 1, 2, 23, 51, 23), datetime.datetime(2020, 1, 3, 0, 12, 37), datetime.timedelta(seconds=1274), datetime.timedelta(seconds=1200), Decimal('0.67'), 2),\n",
       " (4, 103, 2, 3, datetime.datetime(2020, 1, 4, 13, 23, 46), datetime.datetime(2020, 1, 4, 13, 53, 3), datetime.timedelta(seconds=1757), datetime.timedelta(seconds=2400), Decimal('0.59'), 3),\n",
       " (5, 104, 3, 2, datetime.datetime(2020, 1, 8, 21, 0, 29), datetime.datetime(2020, 1, 8, 21, 10, 57), datetime.timedelta(seconds=628), datetime.timedelta(seconds=900), Decimal('0.67'), 1),\n",
       " (6, 101, 3, None, datetime.datetime(2020, 1, 8, 21, 3, 13), None, None, None, None, 1),\n",
       " (7, 105, 2, 4, datetime.datetime(2020, 1, 8, 21, 20, 29), datetime.datetime(2020, 1, 8, 21, 30, 45), datetime.timedelta(seconds=616), datetime.timedelta(seconds=1500), Decimal('1.00'), 1),\n",
       " (8, 102, 2, 1, datetime.datetime(2020, 1, 9, 23, 54, 33), datetime.datetime(2020, 1, 10, 0, 15, 2), datetime.timedelta(seconds=1229), datetime.timedelta(seconds=900), Decimal('1.56'), 1),\n",
       " (9, 103, 2, None, datetime.datetime(2020, 1, 10, 11, 22, 59), None, None, None, None, 1),\n",
       " (10, 104, 1, 2, datetime.datetime(2020, 1, 11, 18, 34, 49), datetime.datetime(2020, 1, 11, 18, 50, 20), datetime.timedelta(seconds=931), datetime.timedelta(seconds=600), Decimal('1.00'), 2)]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT\n",
    "    order_id,\n",
    "    customer_id,\n",
    "    runner_id,\n",
    "    rating,\n",
    "    order_date,\n",
    "    pickup_time,\n",
    "    pickup_time - order_date AS \"Time between order and pickup\",\n",
    "    duration,\n",
    "    round(distance / (EXTRACT(EPOCH FROM duration) / 60), 2)\n",
    "        AS \"speed (km per min)\",\n",
    "    count(*) AS \"Total number of pizzas\"\n",
    "FROM order_fact\n",
    "GROUP BY 1, 2, 3, 4, 5, 6, 7, 8, 9\n",
    "ORDER BY 1;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fa0ee042",
   "metadata": {},
   "source": [
    "#### v) If a Meat Lovers pizza was \\\\$12 and Vegetarian \\\\$10 fixed prices with no cost for extras and each runner is paid \\\\$0.30 per kilometre traveled - how much money does Pizza Runner have left over after these deliveries?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "6a4881c9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "8 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>order_id</th>\n",
       "            <th>distance</th>\n",
       "            <th>count</th>\n",
       "            <th>total_sales</th>\n",
       "            <th>total_cost</th>\n",
       "            <th>total_profit</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>20</td>\n",
       "            <td>1</td>\n",
       "            <td>12</td>\n",
       "            <td>6.00</td>\n",
       "            <td>6.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>20</td>\n",
       "            <td>1</td>\n",
       "            <td>12</td>\n",
       "            <td>6.00</td>\n",
       "            <td>6.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>13.4</td>\n",
       "            <td>2</td>\n",
       "            <td>22</td>\n",
       "            <td>4.020</td>\n",
       "            <td>17.980</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>4</td>\n",
       "            <td>23.4</td>\n",
       "            <td>3</td>\n",
       "            <td>34</td>\n",
       "            <td>7.020</td>\n",
       "            <td>26.980</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>5</td>\n",
       "            <td>10</td>\n",
       "            <td>1</td>\n",
       "            <td>12</td>\n",
       "            <td>3.00</td>\n",
       "            <td>9.00</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>7</td>\n",
       "            <td>25</td>\n",
       "            <td>1</td>\n",
       "            <td>10</td>\n",
       "            <td>7.50</td>\n",
       "            <td>2.50</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>8</td>\n",
       "            <td>23.4</td>\n",
       "            <td>1</td>\n",
       "            <td>12</td>\n",
       "            <td>7.020</td>\n",
       "            <td>4.980</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>10</td>\n",
       "            <td>10</td>\n",
       "            <td>2</td>\n",
       "            <td>24</td>\n",
       "            <td>3.00</td>\n",
       "            <td>21.00</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, Decimal('20'), 1, 12, Decimal('6.00'), Decimal('6.00')),\n",
       " (2, Decimal('20'), 1, 12, Decimal('6.00'), Decimal('6.00')),\n",
       " (3, Decimal('13.4'), 2, 22, Decimal('4.020'), Decimal('17.980')),\n",
       " (4, Decimal('23.4'), 3, 34, Decimal('7.020'), Decimal('26.980')),\n",
       " (5, Decimal('10'), 1, 12, Decimal('3.00'), Decimal('9.00')),\n",
       " (7, Decimal('25'), 1, 10, Decimal('7.50'), Decimal('2.50')),\n",
       " (8, Decimal('23.4'), 1, 12, Decimal('7.020'), Decimal('4.980')),\n",
       " (10, Decimal('10'), 2, 24, Decimal('3.00'), Decimal('21.00'))]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "SELECT \n",
    "    *,\n",
    "    SUM( distance * 0.30 )AS total_cost,\n",
    "    total_sales - SUM( distance * 0.30 ) AS total_profit\n",
    "FROM (\n",
    "    SELECT\n",
    "        order_id,\n",
    "        distance,\n",
    "        count(*),\n",
    "        SUM(\n",
    "            CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "        ) as total_sales\n",
    "    FROM order_fact\n",
    "    JOIN pizza_dim\n",
    "    USING(pizza_id)\n",
    "    LEFT JOIN exclusions_extras_dim\n",
    "    USING(exc_ext_id)\n",
    "    WHERE cancellation IS NULL\n",
    "    GROUP BY 1, 2\n",
    ") subquery\n",
    "GROUP BY 1,2,3,4\n",
    "ORDER BY 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "e9d08190",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>_net</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>94.440</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('94.440'),)]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT SUM(total_profit) AS _net\n",
    "FROM (\n",
    "    SELECT \n",
    "        *,\n",
    "        SUM( distance * 0.30 )AS total_cost,\n",
    "        total_sales - SUM( distance * 0.30 ) AS total_profit\n",
    "    FROM (\n",
    "        SELECT\n",
    "            order_id,\n",
    "            distance,\n",
    "            count(*),\n",
    "            SUM(\n",
    "                CASE WHEN pizza_id = 1 THEN 12 WHEN pizza_id = 2 THEN 10 END\n",
    "            ) as total_sales\n",
    "        FROM order_fact\n",
    "        JOIN pizza_dim\n",
    "        USING(pizza_id)\n",
    "        LEFT JOIN exclusions_extras_dim\n",
    "        USING(exc_ext_id)\n",
    "        WHERE cancellation IS NULL\n",
    "        GROUP BY 1, 2\n",
    "    ) subquery\n",
    "    GROUP BY 1,2,3,4\n",
    "    ORDER BY 1\n",
    ") subquery\n",
    "ORDER BY 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "59d27d07",
   "metadata": {},
   "source": [
    "### 5- Bonus DML Challenges (DML = Data Manipulation Language)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9830035e",
   "metadata": {},
   "source": [
    "#### i) If Danny wants to expand his range of pizzas - how would this impact the existing data design? Write an INSERT statement to demonstrate what would happen if a new Supreme pizza with all the toppings was added to the Pizza Runner menu?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "46f97b55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * postgresql://medhat:***@localhost/medhat\n",
      "1 rows affected.\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>pizza_id</th>\n",
       "            <th>pizza_name</th>\n",
       "            <th>bacon</th>\n",
       "            <th>bbq_sauce</th>\n",
       "            <th>beef</th>\n",
       "            <th>cheese</th>\n",
       "            <th>chicken</th>\n",
       "            <th>mushrooms</th>\n",
       "            <th>onions</th>\n",
       "            <th>pepperoni</th>\n",
       "            <th>peppers</th>\n",
       "            <th>salami</th>\n",
       "            <th>tomatoes</th>\n",
       "            <th>tomato_sauce</th>\n",
       "            <th>concat_toppings</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>1</td>\n",
       "            <td>Meatlovers</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>bacon,bbq_sauce,beef,cheese,chicken,mushrooms,pepperoni,salami</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2</td>\n",
       "            <td>Vegetarian</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>False</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>cheese,mushrooms,onions,peppers,tomatoes,tomato_sauce</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>3</td>\n",
       "            <td>Suprime</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>True</td>\n",
       "            <td>bacon,bbq_sauce,beef,cheese,chicken,mushrooms,onions,pepperoni,peppers,salami,tomatoes,tomato_sauce,bacon,bbq_sauce,beef,cheese,chicken,mushrooms,onions,pepperoni,peppers,salami,tomatoes,tomato_sauce</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(1, 'Meatlovers', True, True, True, True, True, True, False, True, False, True, False, False, 'bacon,bbq_sauce,beef,cheese,chicken,mushrooms,pepperoni,salami'),\n",
       " (2, 'Vegetarian', False, False, False, True, False, True, True, False, True, False, True, True, 'cheese,mushrooms,onions,peppers,tomatoes,tomato_sauce'),\n",
       " (3, 'Suprime', True, True, True, True, True, True, True, True, True, True, True, True, 'bacon,bbq_sauce,beef,cheese,chicken,mushrooms,onions,pepperoni,peppers,salami,tomatoes,tomato_sauce,bacon,bbq_sauce,beef,cheese,chicken,mushrooms,onions,pepperoni,peppers,salami,tomatoes,tomato_sauce')]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "\n",
    "INSERT INTO pizza_dim\n",
    "VALUES(\n",
    "        3,\n",
    "        'Suprime',\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        True,\n",
    "        (\n",
    "            SELECT STRING_AGG(LOWER(REPLACE(topping_name, ' ', '_')), ',')\n",
    "            FROM pizza_toppings\n",
    "        )\n",
    ");\n",
    "\n",
    "SELECT * FROM pizza_dim;"
   ]
  }
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