Title: Discussion
Course: Advanced Data Science: A Graduate Course > Section: Module 3: Exploratory analysis, visualization, and the stakeholder story

Find a genuinely misleading figure in the wild (news, a company report, a social post) and post it with a two-paragraph critique: name the specific technique that misleads (truncated axis, disproportionate area, unordered color, cherry-picked window) and redraw or describe the honest version that serves the same reader. Post your initial critique by midweek of Week 5; then reply substantively to two peers, either strengthening their diagnosis with a named perceptual rule or contesting it with evidence from the readings. The instructor responds in each thread, pressing on whether the “fix” would actually change what a non-technical reader concludes.