| Course Code: CS2302L Course Name: Data Visualization Lab Prerequisites: NIL Syllabus: Foundations of Data Visualization: Importance of visual perception, Data-ink ratio and cognitive load; Different stages of visualization; Data types and preprocessing; Families of Chart Types and Applications: Comparison charts, Distribution charts, Relationship & Correlation charts, Trend and Time-series charts, Part-to-whole and Hierarchical charts; Geospatial and specialized charts; Grammar of Graphics: Building blocks of a graphic, Practical application; Data Storytelling and Dashboards: Interactive visualizations, Dashboards and Infographics. Texts: 1. Claus O. Wilke, Fundamentals of Data Visualization, O`Reilly Media, Inc. 2019 2. Andy Kirk, Data Visualization A Handbook for Data Driven Design (3rd edition), Sage Publications, 2024 References: 1. Edward R. Tufte, The Visual Display of Quantitative Information, (2nd edition), Graphics Press, 1983 2. L. Wilkinson, D. Wills, D. Rope, A. Norton, R. Dubbs, The Grammar of Graphics, (2nd edition), Springer, 2005 |