amazon: Amazon purchases
In hail2thief/ladata: Data Sets for Teaching Data Science
amazon R Documentation
Amazon purchases
Description
dataset of Amazon purchases, merged with a survey of the purchasers. I picked a random subset of 2,000 purchasers for this dataset.
The variables are as follows:
Usage
data(amazon)
Format
A (tibble) data frame with 300,000 rows and 17 variables.
Details
order_date. Date of purchase.
price_per_unit. Price per unit.
quantity. Quantity purchased.
shipping_address_state. Shipping address state.
category. Category of purchase.
age. Age of purchaser.
hispanic. Is purchaser Hispanic?
race. Race of purchaser.
education. Highest level of educational attainment for purchaser.
income. Income of purchaser.
gender. Gender of purchaser.
hh_size. Household size.
marijuana. Does the purchaser use marijuana?
alcohol. Does the purchaser drink alcohol?
id. Unique identifier for each purchaser.
Source
Berke, A., Calacci, D., Mahari, R. et al. Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Sci Data 11, 491 (2024). https://doi.org/10.1038/s41597-024-03329-6
hail2thief/ladata documentation built on Sept. 9, 2024, 1:28 p.m.
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| amazon | R Documentation |
Amazon purchases
Description
dataset of Amazon purchases, merged with a survey of the purchasers. I picked a random subset of 2,000 purchasers for this dataset. The variables are as follows:
Usage
data(amazon)
Format
A (tibble) data frame with 300,000 rows and 17 variables.
Details
order_date. Date of purchase.
price_per_unit. Price per unit.
quantity. Quantity purchased.
shipping_address_state. Shipping address state.
category. Category of purchase.
age. Age of purchaser.
hispanic. Is purchaser Hispanic?
race. Race of purchaser.
education. Highest level of educational attainment for purchaser.
income. Income of purchaser.
gender. Gender of purchaser.
hh_size. Household size.
marijuana. Does the purchaser use marijuana?
alcohol. Does the purchaser drink alcohol?
id. Unique identifier for each purchaser.
Source
Berke, A., Calacci, D., Mahari, R. et al. Open e-commerce 1.0, five years of crowdsourced U.S. Amazon purchase histories with user demographics. Sci Data 11, 491 (2024). https://doi.org/10.1038/s41597-024-03329-6
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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