This course investigates how data visualizations are made and used today. Addressing a lack of both critical attention and technical literacy in how our society engages with increasingly common and sophisticated data-driven representations, we will retrace some history of the form as well as investigate its production and consumption. From uses in the sciences to economics to the popular media, data visualization serves various purposes framed by divergent intentions. Through reading, discussion, and crucially, team-based production, we will examine these myriad forms. While the course will not dwell on the deep computational details of data processing and requires no special technical skills, we will introduce various methodologies for creation and distribution such as D3, Processing, and P5.js. Projects and critique resulting from these inquiries enable an understanding for how any data visualization is the result of countless subjective judgments, design decisions, and persuasive intentions.