Data Visualization

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DS07
Semester: 2nd,
ECTS Credits: 7.5

(Course Coordinator)

Syllabus

An overview and brief history of data visualization
Introduction to the basic principles and design techniques for data visualization. Identification, understanding, analysis, and preparation for presenting effective visualizations across various topics
Overview, installation, and use of various available tools and software that can be used for data visualization
Data preparation and management
Creation and customization of basic statistical and alternative charts
Creation of interactive charts, animated charts, maps, multivariate visualizations, visual reports, and infographics
Visualization of two-dimensional data arrays (2D arrays)
Visual analytics of time series data, cross-sectional data, and panel data
Data visualization vs information visualization. Developing an understanding of the basic principles for effectively presenting data in dashboards, data storytelling, and infographics
Storage, sharing, management, and utilization of output files

Rahlf T. Data Visualisation with R. 111 Examples. Springer Cham, 2019 https://link.springer.com/book/10.1007/978-3-030-28444-2
Yau N. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics, Wiley Publishing Inc., 2015
Chen Chun-houh, Härdle W., Unwin A. Handbook of Data Visualization. With 569 Figures and 50 Tables, Springer, 2008.
Cole Nussbaumer Knaflic Storytelling with Data: A Data Visualization Guide for Business Professionals. Wiley, 2015.
Kabacoff, R. Modern Data Visualization with R (1st ed.). Chapman and Hall/CRC, 2024. https://doi.org/10.1201/9781003299271
Few S. Information Dashboard Design: Displaying Data for At-a-Glance Monitoring, O’Reilly Media, 2013.
Few S. Information Dashboard Design: The Effective Visual Communication of Data, O’Reilly, 2006.