Visual Data Analysis
Master
Bachelor
Course Information
- Learning Method: Practical
- Form of Exam: Project
- Professor:
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Workload:
- Attendance: 48 hours
- Self Study: 102 hours
- Link:Hs-Kl.de
- Graded Project:
Visual Data Analysis
This course focused on the visualization of data, and how to effectively communicate information through the use of visual representations.The course covered the fundamentals of data visualization, including the use of color, typography, and layout.The course also covered the use of various tools for data visualization in R, including ggplot and plotly.
Content
- Visualization pipeline and realizing the pipeline on the computer
- Games-with-a-Purpose
- Examples for data sets and visualizations – best practices
- Short introduction in R, Tableau, ParaView, …
- Projects for interactive visualization
- Case studies