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Name:

Description:

A random sample was taken of nearly 10\ textbook for each course was identified, and its new price at the UCLA Bookstore and on Amazon.com were recorded.

Variables:

  • dept_abbr - Course department (abbreviated).

  • course - Course number.

  • ibsn - Book ISBN.

  • ucla_new - New price at the UCLA Bookstore.

  • amaz_new - New price on Amazon.com.

  • more - Whether additional books were required for the course (Y means "yes, additional books were required").

  • diff - The UCLA Bookstore price minus the Amazon.com price for each book.

Details

The sample represents only courses where textbooks were listed online through UCLA Bookstore's website. The most expensive textbook was selected based on the UCLA Bookstore price, which may insert bias into the data; for this reason, it may be beneficial to analyze only the data where more is "N".

Link To Google Sheets:

Rows:

Columns:

License Type:

References/Notes/Attributions:

Source

This data was collected by David M Diez on April 24th.

R Dataset Upload:

Use the following R code to directly access this dataset in R.

d <- read.csv("https://www.key2stats.com/Textbook_data_for_UCLA_Bookstore_and_Amazon_1524_89.csv")

R Coding Interface:


Datasets Tag Questions & Instructional Blocks

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