Knight Lab: Data Analysis & Visualization

Static and interactive presentations of statistical data are transforming how readers experience the news. The best data journalism pieces engage readers by combining compelling narratives with interactive representations that make it easier to identify trends and make comparisons. Designing and assessing data representations for communication requires diverse skills, including knowing how to analyze and present data using available tools, being able to anticipate how readers will visually perceive and make inferences from data graphics, and recognizing where they may be prone to misinterpreting statistics. In this course, we will learn techniques and theory for analyzing, visualizing, and communicating structured data for journalism contexts. Students will learn how to take an empirical approach to the design and evaluation of data representations like visualizations.