// the find
rdpeng/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
A Coursera homework assignment from Johns Hopkins' Exploratory Data Analysis course. Students fork it, write four R scripts to reproduce reference plots from a household power consumption dataset, and push their work back to GitHub. The repo itself contains only the assignment instructions and reference images — no solution code.
The assignment structure is clear: one R file per plot, each self-contained with its own data-loading code, making reproducibility straightforward to verify. The dataset choice is practical — 2M rows of real sensor data forces students to think about memory before reading. The two-day subset constraint keeps the scope narrow enough to finish in an afternoon.
56,000 forks and zero code in the upstream repo means GitHub search is polluted with thousands of student submissions of wildly varying quality. The dataset link points to a third-party CDN that may not be stable long-term. There's no automated grading harness or test suite, so "correctness" is purely visual comparison against PNG screenshots. This repo has no value to anyone who isn't enrolled in that specific course.