Data scientists often present information to disseminate their findings. This course introduces theories and applications of communicating with data, with an emphasis on visualizations. To support this approach, we will focus on the what, why, and how of data visualization. “What” focuses on specific types of visualizations for a particular purpose, as well as tools for constructing these plots. In “how” we will focus on the process of generating a data visualization from pre-processing the raw data, mapping attributes of the data to plot aesthetics, strategically determining how to define the visual encoding of the data for maximal accessibility, and finalizing the visualization to consider the importance of visual appeal. In “why” we discuss the theory tying together the “how” and the “what”, and consider empirical evidence of best-practices in data communication.
INFO 3312/5312 is an elective course for Information Science majors and MPS students at Cornell University.