cities_orig: German City Populations

Description Usage Format Note Source

Description

Predict populations of the 83 German cities with at least 100,000 inhabitants based on whether each city has a soccer team, university, intercity train line. exposition site, etc.

Usage

1

Format

A data frame with 83 observations (rows) and 11 variables (columns):

city

A character column with the name of the city

pop

A numeric column with the 1993 city population

soccer

A numeric column with a boolean flag for whether the city has a team in the major soccer league

state_capital

A numeric column with a boolean flag for whether the city is a state capital

east_germany

A numeric column with a boolean flag for whether the city was formerly in East Germany

industrial_belt

A numeric column with a boolean flag for whether the city was in the industrial belt

license_plate

A numeric column with a boolean flag for whether the abbreviation for the city on license plates is one-letter long.

train

A numeric column with a boolean flag for whether the city is on the Intercity train line

exposition_site

A numeric column with a boolean flag for whether the city once an exposition site

national_capital

A numeric column with a boolean flag for whether the city is the national capital of Germany

university

A numeric column with a boolean flag for whether the city home to a university

Note

This data contains two data transcription errors–matching the dataset used in the 1996 Gigerenzer, Goldstein paper.

Source

Fischer Welt Almanach (Fischer World Almanac). (1993). Frankfurt, Germany: Fischer. This data can be found in the appendix of: Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: models of bounded rationality. Psychological review, 103(4), 650. Found here: http://www.dangoldstein.com/papers/FastFrugalPsychReview.pdf


jdmR-packages/czerlinski1999 documentation built on Jan. 1, 2021, 4:32 a.m.