Description Usage Format Note Source
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.
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A data frame with 83 observations (rows) and 11 variables (columns):
A character column with the name of the city
A numeric column with the 1993 city population
A numeric column with a boolean flag for whether the city has a team in the major soccer league
A numeric column with a boolean flag for whether the city is a state capital
A numeric column with a boolean flag for whether the city was formerly in East Germany
A numeric column with a boolean flag for whether the city was in the industrial belt
A numeric column with a boolean flag for whether the abbreviation for the city on license plates is one-letter long.
A numeric column with a boolean flag for whether the city is on the Intercity train line
A numeric column with a boolean flag for whether the city once an exposition site
A numeric column with a boolean flag for whether the city is the national capital of Germany
A numeric column with a boolean flag for whether the city home to a university
This data contains two data transcription errors–matching the dataset used in the 1996 Gigerenzer, Goldstein paper.
The state capital (state_capital
)entry for the city of Dresden
The soccer team (soccer
) entry for the city of Krefeld
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
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