Law School Data Admissions Analyses (2017/2018 - 2020/2021)

The plots below pull self-reported data from LawSchoolData.org and utilize Plotly to visualize different slices of this data. Plotly makes possible an interactive experience, among other things allowing users to: pan and zoom, using the toolbar at the top of each plot; adjust the x and y axes, by hovering over an axis at the middle or at either end; and highlight and hide the data sets represented in the legend, by single- or double-clicking on the legend markers.

Unless otherwise noted, all comparison groups are drawn from LawSchoolData.org, holds and withdrawls are not included in calculations, and waitlist -> rejected, waitlist -> accepted, and waitlist -> withdrawn reports are treated as waitlists. Because there appears to be some inconsistency in the self-reporting of the decision date for waitlist -> rejected, waitlist -> accepted, and waitlist -> withdrawn reports—some users update their decision date upon second notification while others leave it unchanged since receiving the original waitlist notice—it is likely that some waitlist data are erroneous. If cycles are not reported in the format 15/16 then the cycle number listed represents the year in which applicants for that cycle would begin law school, such that cycle 17/18 is equivalent to cycle 18. Finally, the plots below are generated from the pool of applicants who have entered on LawSchoolData.org at minimum their LSAT score and their GPA. The data pool for plots 1, 2, 3, and 4 has the additional restriction, because these plots analyze time data, that applicants are included only if they entered on LawSchoolData.org the date at which they sent their application; the pool for plots 1, 3, and 4 is further restricted by requiring applicants to have entered the date at which they received their admissions decisions. Accordingly, counts for plots 1, 2, 3, and 4 may differ from those available on LawSchoolData.org itself, which allows users to update their decision without providing any other information.

Those interested in examining the source code may wish to visit the GitHub repository for this project. Feedback, suggestions, and other notes may be directed to u/IneffablePhilosopher.

See the footer for attributions and the latest date of update.