pizzaplace | R Documentation |
A year of pizza sales from a pizza place
Description
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
andtime
.- 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)
Examples
Here is a glimpse at the pizza data available in pizzaplace
.
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~
Dataset ID and Badge
DATA-5
Dataset Introduced
v0.2.0.5
(March 31, 2020)
See Also
Other datasets:
constants
,
countrypops
,
exibble
,
films
,
gibraltar
,
gtcars
,
illness
,
metro
,
nuclides
,
peeps
,
photolysis
,
reactions
,
rx_addv
,
rx_adsl
,
sp500
,
sza
,
towny