Project 3 (2016)


Visualizing Van Pelt

Work in teams with to map the lives of the library: how materials circulate, where materials are located, how transactions are completed and other aspects of this dynamic organization. Project is a collaboration with Andy Sarno and Joe Zucca from the Penn Library Strategic Initiatives department. 

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Borrow Direct Breakdown — Project3_BorrowDirectBreakdown
A look at the lending and borrowing specialties of Borrow Direct schools. In the first layer, viewers can see a proportional representation of the books lent and borrowed the most between each pair of schools. In the genre breakdown, viewers can click on a specific genre to see how often and at what proportion it shows up in a school’s most-lent books.

By Amelia, Ishmam, and Xiaoye

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Last Resort – Last Resort App

This visualization looks at books Penn borrows and breaks it down by subject, represented by the book widths on the shelf. Users can hover over the shelf below the books to view the breakdown percentages. By clicking on a book on the shelf, users can then see how each subject is broken down by school.

By Diane, Eric, and Jenny

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Givers or Takers? – Project 3

This interactive focuses on the exchanges that occurs between 12 schools within the Borrow Direct system. It explores the correlation between the size of the participating library (total volume of books) and the amount of Borrow Direct participation (total books lent/borrowed). Are larger libraries necessarily the largest BD participators?

by Catherine Gonzalez and Esther Yoon

A Story About Jenny – A Story About Jenny

This is a story about Jenny and her experience using BorrowDirect. This project seeks to examine the environmental impact of her experience and provides recommendations for how Penn can reduce its carbon footprint.

By Laura, Minjun, and Mikael

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Race by the Book – Project 3

In this project, we wanted to look at the number of books checked out from Van Pelt Library over the past fifteen years on the topic of race relations. We looked at this data against some of the most prominent race-related events of the 21st century. We got our numbers by filtering the annual circulation data by call numbers that refer to topics concerning race. The graph shows the number of checkouts per month (of that year and each preceding year since 2000), and the line going through it represents the average number of checkouts over the past fifteen years.

Melissa, Virginia, Jinxiang