restaurant: Restaurant Data

In frank113/cmu202: Necessary Packages and Data for 36-202 at Carnegie Mellon University

Description

Restaurants in the U.S. are a nearly 799 billion dollar industry according to the National Restaurant Association. As part of understanding customer needs, opinions are important for restaurants to measure and predict.

Usage

data("restaurant")

Format

A dataframe with 40 rows and 3 columns.

Rating

Dining experience on a five-point scale. Coded as follows:

• 1Terrible

• 2Below average

• 3Satisfactory

• 4Above average

• 5Excellent

GroupSize

The size of the group dining together.

Wine

Whether or not the group ordered wine. Oen of:

• 1Yes

• 2No

Note

The documentation does not auto-update. If one changes the base file, this documentation will no longer remain accurate.

36-202 Lab 12 Data.

frank113/cmu202 documentation built on July 17, 2020, 9:31 p.m.