data-analysis

Coverage here centers on turning raw numbers into defensible conclusions: how to frame a question, pull the right data, and read what it actually says versus what you want it to say. Expect practical walkthroughs of vote counts, view metrics, engagement signals, and the noise that distorts them. The focus stays on method, including how to spot bias, separate signal from sentiment, and communicate findings without overstating what the evidence supports.