Data pizza
An artificial dataset inspired by a similar dataset pizza.sav in Arbeitsbuch zur deskriptiven und induktiven Statistik by Toutenburg et.al.
The dataset contains data of a pizza delivery service in London, delivering pizzas to three areas. Every record defines one order/delivery and the according properties. A pizza is supposed to taste good, if its temperature is high enough, say 45 Celsius. So it might be interesting for the pizza delivery service to minimize the delivery time.
The dataset is designed to be as evil as possible. As far as the description is concerned, it should pose the same difficulties that we have to deal with in everyday life. It contains the most used datatypes as numerics, factors, ordered factors, integers, logicals and a date. NAs are scattered everywhere partly systematically, partly randomly (except in the index).
data(d.pizza)
A data frame with 1209 observations on the following 17 variables.
indexa numeric vector, indexing the records (no missings here).
dateDate, the delivery date
weekinteger, the weeknumber
weekdayinteger, the weekday
areafactor, the three London districts: Brent, Camden, Westminster
countinteger, the number of pizzas delivered
rabatelogical, TRUE if a rabate has been given
pricenumeric, the total price of delivered pizza(s)
operatora factor with levels Allanah Maria Rhonda
drivera factor with levels Carpenter Carter Taylor Butcher Hunter Miller Farmer
delivery_minnumeric, the delivery time in minutes (decimal)
temperaturenumeric, the temperature of the pizza in degrees Celsius when delivered to the customer
wine_orderedinteger, 1 if wine was ordered, 0 if not
wine_deliveredinteger, 1 if wine was delivered, 0 if not
wrongpizzalogical, TRUE if a wrong pizza was delivered
qualityordered factor with levels low < medium < high, defining the quality of the pizza when delivered
The dataset contains NAs randomly scattered.
Toutenburg H, Schomaker M, Wissmann M, Heumann C (2009): Arbeitsbuch zur deskriptiven und induktiven Statistik Springer, Berlin Heidelberg
str(d.pizza) head(d.pizza) Desc(d.pizza)
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