art: Art sales

In hail2thief/ladata: Data Sets for Teaching Data Science

Art sales

Description

dataset of auction sales records, including artists’ attributes, and market information. The variables are as follows:

Usage

data(art)

Format

A (tibble) data frame with 18,400 rows and 13 variables.

Details

• case_id. Unique identifier for each auction sale.

• artist_name. Name of the artist.

• lot_title. Title of the artwork.

• year_of_artwork. Year the artwork was created.

• event_year. Year the auction took place.

• nationality. Artist nationality.

• year_of_birth. Artist year of birth.

• genre. Genre of the artwork.

• country. Country where the auction took place.

• real_price_usd. Price of the artwork in real USD.

• size_inch_by_inch. Size of the artwork in inches.

• gender_male. Dummy variable for whether artist is male.

• elite_school. Dummy variable for whether artist attended an elite school.

Source

Lee, K., Park, J., Goree, S. et al. Social signals predict contemporary art prices better than visual features, particularly in emerging markets. Sci Rep 14, 11615 (2024).

hail2thief/ladata documentation built on Sept. 9, 2024, 1:28 p.m.