Special Topics in Statistics and Probability: Visualization and Data Story Telling (7 ECTS))

Course Code:

6316

Semester:

6th

Elective Courses

Διδάσκων:

Appointed Instructor

Foundations of Data Visualization: Core concepts, "best vs. worst" practices, and fundamental principles for creating effective and honest charts.
Visual Perception and Design: Exploring the psychology of vision, the "Data-to-Ink Ratio" (minimizing clutter to maximize information), and strategic selection of color palettes.
The Grammar of Graphics: Understanding the layered structure of visualizations (data, mappings, scales, layers, and coordinates).
Visualization Taxonomy: Selecting the right chart types for specific data structures and purposes. Topics include flow visualizations, Trellis (facet) plots, and geospatial map types.
Dashboards and Infographics: Designing organized, multi-view displays and information-dense graphics.
Interactive Graphics: Implementing interactivity through animation, tooltips (hovering), and filtering.
Technical Application: Implementing interactive visualizations using tools like Shiny (R).
Data Storytelling: Narrative structures for data-driven stories and techniques for effective visual communication.
Ethics in Visualization: Principles for the deontological (ethical) use of visual information to avoid bias and misleading representations.

Recommended Reading

Suggested bibliography:

Chen, C., Hardle, W. K., & Unwin, A. (2007). Handbook of data visualization. Springer Science & Business Media.
Tufte, E.R., 2001. The Visual Display of Quantitative Information 2nd ed., Graphics Press.
Cleveland, W.S., 1994. The Elements of Graphing Data 2nd ed., Summit, NJ, USA: Hobart Press
Eckert, H. (2022). Storytelling with data. Springer.
Resnizky, H. G. (2015). Learning Shiny. Packt Publishing Ltd.
Healy, K. (2024). Data visualization: a practical introduction. Princeton University Press.

Related journals:

Undergraduate Studies