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Advanced Information Visualization and Applications (4DV806)

Instructor Dr. Rafael Messias Martins
Course Examiner Prof. Dr. Andreas Kerren
Teaching Period II (2022-11-08 till 2023-01-16)
Assessment Assignments and oral examinations. Oral examinations will take place in week 2. Further details will be shared via the Moodle classroom.
Prerequisites 90 credits in Computer Science (including a degree project at Bachelor level), 5 hp information visualization on advanced level (e.g., 4DV805 or equivalent), and English B/English 6 (or the equivalent).
Credits 5 ECTS
Topic Information Visualization in Special Domains


This course extends Information Visualization with visualization techniques and systems for special data sets, such as networked data (trees, graphs), time-dependent data, text, document collections, or software (so-called software visualization). Furthermore, we discuss the evaluation of visualizations, collaborative/personal information visualization, as well as applications in bioinformatics, geography, etc.

This course aims at giving an overview of the most important techniques and prerequisites needed to develop effective visualizations of abstract information. After finishing the course, the students should be able to choose and develop the most suitable technique for special data sets and applications domains, cf. learning objectives in the course syllabus.

Schedule

Preliminary Schedule:

# Date Topic Slides
1 2022 11 08 Introduction and InfoVis Toolkits
2 2022 11 09 Hierarchies (Trees)
3 2022 11 15 Networks (Graphs)
4 2022 11 16 Time-series Visualization
5 2022 11 22 Text & Documents I
6 2022 11 23 Text & Documents II
7 2022 11 29 Geospatial Data
8 2022 11 30 WebVis and BioVis
9 2022 12 06 Software Visualization
10 2022 12 07 Collaborative & Personal Visualization
11 2022 12 14 Visual Analytics
12 2022 12 20 Evaluation and Top 10 InfoVis Challenges
Materials

Visualization Tools and Libraries:

  • D3 (JavaScript)
  • Vega (JavaScript; based on D3)
  • Vega-Lite (JavaScript; based on D3 and Vega)
  • plotly.js (JavaScript; based on D3)
  • nivo (JavaScript; based on D3 and React)
  • Victory (JavaScript; based on D3 and React)
  • Chart.js (JavaScript)
  • vis.js (JavaScript)
  • Highcharts (JavaScript)
  • Google Charts (JavaScript)
  • Rickshaw (Temporal data; JavaScript; based on D3)
  • Leaflet (Geospatial data (maps); JavaScript)
  • Cytoscape.js (Graph/network data; JavaScript)
  • Sigma (Graph/network data; JavaScript)
  • Bokeh (Python; generates a web-based visualization)
  • Dash (Python or R; generates a web-based visualization using plotly.js)
  • plotly.py (Python; generates a web-based visualization using plotly.js)
  • Altair (Python; generates a web-based visualization using Vega and Vega-Lite)
  • mpld3 (Python; generates a web-based visualization using D3)
  • Shiny (R; generates a web-based visualization)
  • Shiny Dashboard (R; generates a web-based visualization using Shiny)
  • Tableau (Visualization environment, Dashboards)
  • QlikView (Visualization environment, Dashboards)
  • Power BI (Visualization environment, Dashboards)
  • Visualize Free (Online, Dashboards)
  • Keshif Online (Online, Dashboards)
  • Kepler.gl (Online, Geospatial Networks)
  • yFiles (Several platforms)
  • Gephi (The Open Graph Viz Platform; Java)
  • Processing (Environment for graphics programming; several platforms)
  • Improvise (Java)
  • JFreeChart (Java)
  • ggplot2 (R)
  • Chaco (Python)
  • Matplotlib (Python)

No longer in active development (not recommended for assignments):

  • JavaScript InfoVis Toolkit (JavaScript)
  • Flare - Data Visualization for the Web (ActionScript)
  • JUNG Java Universal Network/Graph Framework (Java)
  • InfoVis Toolkit (Java)
  • JChart (Java)
  • XmdvTool (Qt)

Interesting URLs:

  • Information is Beautiful
  • Search User Interfaces (Free Book)
  • A Visual Bibliography of Tree Visualization
  • A Visual Survey of Visualization Techniques for Time-Oriented Data
  • A Visual Survey of Text Visualization Techniques
  • Quantified Self Viz Contest Entries
  • Overview of Data Visualizations and Infographics
  • Nightingale – The Journal of the Data Visualization Society
Assignments Assignments consist of theoretical and practical exercises as well as short class presentations/demos. They will be supervised by Angelos Chatzimparmpas.
Open Theses We permanently offer interesting topics for Bachelor's and Master's Theses that are related to Information Visualization and Software Visualization.

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