Overview
Description
Visualizations for exploring data and explaining with data. Topics covered include categories of data analytics, types of data, selecting a chart type, data visualization and design, use of color, visualizing variability, exploring data visually, storytelling with charts, data dashboards, preparing data for visualization, and telling the truth with data graphics.
Units
Lecture3
Catalog Details
Offering
Offered: Every Spring
Terms
spring
Attributes
Standard
Learning Outcomes
- communicate effectively in a variety of professional contexts, with a range of audiences.
- recognize professional responsibilities and make informed judgments in engineering and computing practice based on legal and ethical principles, considering the impact of solutions in global, economic, environmental, and societal contexts.
- develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions.
- apply engineering and computer science research and theory to advance the art, science, and practice of the discipline.