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Rebecca Sutton Koeser
@suttonkoeser.bsky.social
research software engineering @princetoncdh.bsky.social collaborating & co-authoring innovative humanities research capacious curiosity
146 followers133 following28 posts
RSsuttonkoeser.bsky.social

We use time series forecasting to estimate missing membership activity (subscriptions, renewals, reimbursements) and members and conclude that Shakespeare and Company Project datasets include 93% of membership activity and 96% of members.

time series showing weekly membership activity from the logbooks with forecast model and predictions for the gaps
time series showing new member subscriptions by week with forecast model and predictions for new members in the gaps
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RSsuttonkoeser.bsky.social

We calculated a “borrowing capacity” based on known subscription limits & discovered members went over subscription limits and Sylvia Beach got more lenient in later years. We compare to a handwritten tally from 1931: 75 books out is 2x our estimate!

line chart showing borrowing activity, subscription volumes, and estimated borrowing activity
Handwritten tally of books dated February 28, 1931 listing 4,600 total library books and 75 books out.
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Profile banner
RS
Rebecca Sutton Koeser
@suttonkoeser.bsky.social
research software engineering @princetoncdh.bsky.social collaborating & co-authoring innovative humanities research capacious curiosity
146 followers133 following28 posts