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Information Visualization (4DV805)

Professor Prof. Dr. Andreas Kerren
Time & Place Compare here! In general, the lectures will take place online via Zoom.
Teaching Period I (2020-08-31 till 2020-10-30)
Assessment Assignments AND oral examinations. Oral examinations will take place via Zoom in week 44.
Prerequisites 90 credits in Computer Science (including a degree project at Bachelor level). English B/English 6 or the equivalent.
Credits 5 ECTS
Topic Basics in Information Visualization

Information Visualization (InfoVis) covers the development of tools for better understanding and analyses of abstract information using the human visual system. Abstract information can normally not be transferred into the physical world. This course gives you an overview of the most important techniques of this research area including fundamentals. Covered topics are among others: visual perception, interaction techniques (e.g., level of detail, navigation, focus and context, ...), and visualization techniques for multi-dimensional data sets (tables).

The course Advanced Information Visualization and Applications extends this course with visualization techniques and systems for special data sets.

Schedule

Preliminary Schedule:

# Date Topic Slides
1 2020 09 01 Introduction and Motivation
2 2020 09 08 Perception Theory I
3 2020 09 15 Perception Theory II ↑
4 2020 09 22 InfoVis Basics (Reference and Design Models)
5 2020 09 23 InfoVis Basics (Data/Task Abstractions) ↑
6 2020 09 29 Interaction I (Dynamic Queries)
7 2020 10 06 Interaction II (Zoom&Pan, Overview&Detail) ↑
8 2020 10 13 Interaction III (Focus&Context) ↑
9 2020 10 20 1D, 2D, 3D, and Multidimensional Data
Materials

Learning Environment:

  • Moodle

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)
  • 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)
  • 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:

  • A Tour through the Visualization Zoo
  • 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
  • From Data to Viz
  • Data Visualization for Human Perception
  • Visual Perception
  • Exploring Preattentive Attributes
  • Nightingale – The Journal of the Data Visualization Society
Assignments Assignments consist of theoretical and practical exercises. They will be supervised by Angelos Chatzimparmpas.

Assignments:

  • Assignment 1 (Deadline: 2020-09-07, Presentation: 2020-09-08, 15:00-16:45, online via Zoom)
  • Assignment 2 (Deadline: 2020-09-21, Presentation: 2020-09-22, 15:00-16:45, online via Zoom)
  • Assignment 3 (Deadline: 2020-10-05, Presentation: 2020-10-06, 15:00-16:45, online via Zoom)
  • Assignment 4 (Deadline: 2020-10-26, Presentation: 2020-10-27, 13:00-14:45, online via Zoom)
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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