392149 Data Visualization with D3 Workshop (BS) (WiSe 2014/2015)

Abstract
Visual representation of complex data reveals the motifs and patterns, which cannot be easily understood by basic statistical approaches. However, in case of the analysis of real data, the phenomenon of interest usually involves many parameters and a researcher needs many different plots to visualize the different aspects of analysis results. In addition, current paradigm of visualization is based on displaying static images on a 2D surface. It might be a computer screen, a wall, a piece of paper, or any kind of material that provides a support for the image.
A solution for displaying complex data visualizations is to make visualization interactive through a computer or a smart device. This gives user much more flexibility for looking at different aspects of the data with little effort. There are many standalone software for specific visualization purposes such as Cytoscape and Gephi for network visualization whereas standalone software has some serious limitations for interaction flexibility and sharing the visualizations. Web technologies provide a great deal of opportunity for interactive data visualization and among many JavaScript library alternatives, D3 is well ahead (1). D3 is a JavaScript library (2) that allows programmers to modify and transform any part of a web page and associate HTML elements with data. This results in interactive and dynamic graphs with a very wide range of layout options through a modern browser.

More: http://cellmicrocosmos.org/images/downloads/next2014/Cm_neXt_2014_ahmet_ozturk_abstract__PRE.pdf

References
(1) D. Skau. Why D3.js is So Great for Data Visualization | Visually Blog. (Online). Available: http://blog.visual.ly/why-d3-js-is-so-great-for-data-visualization. (Accessed: 17-Sep-2014).
(2) M. Bostock. D3.js - Data-Driven Documents. (Online). Available: http://d3js.org. (Accessed: 13-Sep-2014).

Topics: Introduction to Web Technologies

• HTML and CSS Crash Course
• JavaScript Crash Course
• Introduction to Visualization Approaches
• Getting Started with D3
• Basic Charts with D3
• Complex Graphics with D3
• Project: Visualizing Given Data

Time Schedule
First Meeting: Monday, 22th September, 10 c.t.
Schedule: 10 - 12, 14 - 16 (all week, 22th to 26th September)

Optionale Modul-Anrechnung
Seminar zum neuen Modul: Interdisziplinäre ZellVisualisierung für Naturwissenschaftliche Informatik, Bioinformatik und Genomforschung, Molekulare Biotechnologie, Medienwissenschaften, Medieninformatik und Gestaltung

• Vorlesung: Interdisziplinäre ZellVisualisierung (3CP, SS2014)
• Seminar: Stereoscopic 3D Visualization (2 CP, WS2014/15)
• oder Blockseminar: Data Visualization with D3 Workshop (2 CP, SS2014, in English)
• Projekt: CELLmicrocosmos Cell Modelling (5 CP, SS2012 oder WS2014-15)

Zur Modulbeschreibung ...