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A synthetic dataset that describes pizza sales for a pizza place somewhere in the US. While the contents are artificial, the ingredients used to make the pizzas are far from it. There are 32 different pizzas that fall into 4 different categories: "classic" (classic pizzas: 'You probably had one like it before, but never like this!'), "chicken" (pizzas with chicken as a major ingredient: 'Try the Southwest Chicken Pizza! You'll love it!'), "supreme" (pizzas that try a little harder: 'My Soppressata pizza uses only the finest salami from my personal salumist!'), and, "veggie" (pizzas without any meats whatsoever: 'My Five Cheese pizza has so many cheeses, I can only offer it in Large Size!').

Usage

pizzaplace

Format

A tibble with 49,574 rows and 7 variables:

id

The ID for the order, which consists of one or more pizzas at a given date and time.

date

A character representation of the order date, expressed in the ISO 8601 date format (YYYY-MM-DD).

time

A character representation of the order time, expressed as a 24-hour time the ISO 8601 extended time format (HH:MM:SS).

name

The short name for the pizza.

size

The size of the pizza, which can either be "S", "M", "L", "XL" (rare!), or "XXL" (even rarer!); most pizzas are available in the "S", "M", and "L" sizes but exceptions apply.

type

The category or type of pizza, which can either be "classic", "chicken", "supreme", or "veggie".

price

The price of the pizza and the amount that it sold for (in USD).

Details

Each pizza in the dataset is identified by a short name. The following listings provide the full names of each pizza and their main ingredients.

Classic Pizzas:

  • "classic_dlx": The Classic Deluxe Pizza (Pepperoni, Mushrooms, Red Onions, Red Peppers, Bacon)

  • "big_meat": The Big Meat Pizza (Bacon, Pepperoni, Italian Sausage, Chorizo Sausage)

  • "pepperoni": The Pepperoni Pizza (Mozzarella Cheese, Pepperoni)

  • "hawaiian": The Hawaiian Pizza (Sliced Ham, Pineapple, Mozzarella Cheese)

  • "pep_msh_pep": The Pepperoni, Mushroom, and Peppers Pizza (Pepperoni, Mushrooms, and Green Peppers)

  • "ital_cpcllo": The Italian Capocollo Pizza (Capocollo, Red Peppers, Tomatoes, Goat Cheese, Garlic, Oregano)

  • "napolitana": The Napolitana Pizza (Tomatoes, Anchovies, Green Olives, Red Onions, Garlic)

  • "the_greek": The Greek Pizza (Kalamata Olives, Feta Cheese, Tomatoes, Garlic, Beef Chuck Roast, Red Onions)

Chicken Pizzas:

  • "thai_ckn": The Thai Chicken Pizza (Chicken, Pineapple, Tomatoes, Red Peppers, Thai Sweet Chilli Sauce)

  • "bbq_ckn": The Barbecue Chicken Pizza (Barbecued Chicken, Red Peppers, Green Peppers, Tomatoes, Red Onions, Barbecue Sauce)

  • "southw_ckn": The Southwest Chicken Pizza (Chicken, Tomatoes, Red Peppers, Red Onions, Jalapeno Peppers, Corn, Cilantro, Chipotle Sauce)

  • "cali_ckn": The California Chicken Pizza (Chicken, Artichoke, Spinach, Garlic, Jalapeno Peppers, Fontina Cheese, Gouda Cheese)

  • "ckn_pesto": The Chicken Pesto Pizza (Chicken, Tomatoes, Red Peppers, Spinach, Garlic, Pesto Sauce)

  • "ckn_alfredo": The Chicken Alfredo Pizza (Chicken, Red Onions, Red Peppers, Mushrooms, Asiago Cheese, Alfredo Sauce)

Supreme Pizzas:

  • "brie_carre": The Brie Carre Pizza (Brie Carre Cheese, Prosciutto, Caramelized Onions, Pears, Thyme, Garlic)

  • "calabrese": The Calabrese Pizza ('Nduja Salami, Pancetta, Tomatoes, Red Onions, Friggitello Peppers, Garlic)

  • "soppressata": The Soppressata Pizza (Soppressata Salami, Fontina Cheese, Mozzarella Cheese, Mushrooms, Garlic)

  • "sicilian": The Sicilian Pizza (Coarse Sicilian Salami, Tomatoes, Green Olives, Luganega Sausage, Onions, Garlic)

  • "ital_supr": The Italian Supreme Pizza (Calabrese Salami, Capocollo, Tomatoes, Red Onions, Green Olives, Garlic)

  • "peppr_salami": The Pepper Salami Pizza (Genoa Salami, Capocollo, Pepperoni, Tomatoes, Asiago Cheese, Garlic)

  • "prsc_argla": The Prosciutto and Arugula Pizza (Prosciutto di San Daniele, Arugula, Mozzarella Cheese)

  • "spinach_supr": The Spinach Supreme Pizza (Spinach, Red Onions, Pepperoni, Tomatoes, Artichokes, Kalamata Olives, Garlic, Asiago Cheese)

  • "spicy_ital": The Spicy Italian Pizza (Capocollo, Tomatoes, Goat Cheese, Artichokes, Peperoncini verdi, Garlic)

Vegetable Pizzas

  • "mexicana": The Mexicana Pizza (Tomatoes, Red Peppers, Jalapeno Peppers, Red Onions, Cilantro, Corn, Chipotle Sauce, Garlic)

  • "four_cheese": The Four Cheese Pizza (Ricotta Cheese, Gorgonzola Piccante Cheese, Mozzarella Cheese, Parmigiano Reggiano Cheese, Garlic)

  • "five_cheese": The Five Cheese Pizza (Mozzarella Cheese, Provolone Cheese, Smoked Gouda Cheese, Romano Cheese, Blue Cheese, Garlic)

  • "spin_pesto": The Spinach Pesto Pizza (Spinach, Artichokes, Tomatoes, Sun-dried Tomatoes, Garlic, Pesto Sauce)

  • "veggie_veg": The Vegetables + Vegetables Pizza (Mushrooms, Tomatoes, Red Peppers, Green Peppers, Red Onions, Zucchini, Spinach, Garlic)

  • "green_garden": The Green Garden Pizza (Spinach, Mushrooms, Tomatoes, Green Olives, Feta Cheese)

  • "mediterraneo": The Mediterranean Pizza (Spinach, Artichokes, Kalamata Olives, Sun-dried Tomatoes, Feta Cheese, Plum Tomatoes, Red Onions)

  • "spinach_fet": The Spinach and Feta Pizza (Spinach, Mushrooms, Red Onions, Feta Cheese, Garlic)

  • "ital_veggie": The Italian Vegetables Pizza (Eggplant, Artichokes, Tomatoes, Zucchini, Red Peppers, Garlic, Pesto Sauce)

Dataset ID and Badge

DATA-5

This image of that of a dataset badge.

Dataset Introduced

v0.2.0.5 (March 31, 2020)

Examples

dplyr::glimpse(pizzaplace)
#> Rows: 49,574
#> Columns: 7
#> $ id    <chr> "2015-000001", "2015-000002", "2015-000002", "2015-000002", "201…
#> $ date  <chr> "2015-01-01", "2015-01-01", "2015-01-01", "2015-01-01", "2015-01…
#> $ time  <chr> "11:38:36", "11:57:40", "11:57:40", "11:57:40", "11:57:40", "11:…
#> $ name  <chr> "hawaiian", "classic_dlx", "mexicana", "thai_ckn", "five_cheese"…
#> $ size  <chr> "M", "M", "M", "L", "L", "L", "L", "M", "M", "M", "S", "S", "S",…
#> $ type  <chr> "classic", "classic", "veggie", "chicken", "veggie", "supreme", …
#> $ price <dbl> 13.25, 16.00, 16.00, 20.75, 18.50, 20.75, 20.75, 16.50, 16.50, 1…