[OC] Class Easiness vs Average Grade (High School) Comparison

What This Visualization Shows

This data visualization displays "[OC] Class Easiness vs Average Grade (High School)" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Apparently I need to post this in a top-level comment, not the post itself, so (copied+pasted from the post):

From an anonymized dataset of a years-worth of student's grades (~1200 students and ~250 classes) I perform linear regression, where each student's "academic ability" variable and each class has a "class easiness" variable, and a student's grade is predicted as the sum of the two. The resulting coefficients give an estimate for how easy each each class is (and how strong a student's academics are).

A "class" is defined a subject-teacher pair -- if different teachers both teach (e.g.) Geometry, both classes get their own "class easiness" variable.

The resulting estimates of student academic ability are more accurate (i.e. less statistical noise), less biased than their GPA, and doesn't incentivize grade inflation.

Source: https://open.substack.com/pub/morganredding/p/why-gpa-is-bad-and-how-we-can-improve

Data: Private (I spoke with the school administrators)

Tool: Python/numpy/matplotlib, which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

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Data Analysis and Insights

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