Cancellations

Cancelled sections and cancellation timing


Cancellations shows scheduled sections that were cancelled, along with timing context relative to the section start date. It lives under Explore -> Cancellations.

Use it when you need to review cancellation patterns by term, department, course, level, part of term, or delivery method. The view is descriptive: it shows what was cancelled and when, not why the cancellation happened.


Filters

Set the filter stripe, then click Find Cancellations.

Filter What it controls
Campus / College / Department Limits the sections included in the run.
Term Accepts exact term codes or term-type values such as fall or spring.
PoT Limits to selected parts of term.
Method Limits by delivery method.
Level Limits by course level. Defaults to lower division.

The link button copies a shareable URL for the current view.


Views

View What it shows
Cancelled Sections Section-level rows: term, department, course, title, section, CRN, enrollment/capacity, cancellation date, start date, days before start, and comments where available.
By Department Cancelled section counts by department and term.
Timing Cancellation counts by days before course start, limited to 0-100 days before start.
Common Courses Courses with repeated cancellation patterns across terms.
Trends Term-level cancellation counts by department. Units outside the top ten are grouped as Other.

Methodology Notes

Cancellations uses section records with status C. Removed (R) and suspended (S) sections are shown in the scope stripe as not included.

Timing is based on parsed cancellation dates from section comments when available, compared with the course start date. If start date is missing, the timing logic falls back to census date where possible. Rows with missing timing dates, cancellations after start, or cancellations more than 100 days before start are excluded from the Timing plot but remain part of the section-level cancellation count.

The Trends view ignores exact term-code filters so it can show broader term patterns. Fall, Spring, and Summer term-type filters are retained.


  • Enrollment — scheduled and historical section-level enrollment
  • Open Seats — current or future capacity by course
  • Regstats — registration pressure and anomaly signals

Back to top

CEDAR is open source software for higher education analytics.