Software Options for Data Visualization

Hümbelin, Oliver (2019). Software Options for Data Visualization In: Science Communication Series 2019. Bern: Berner Fachhochschule BFH, Soziale Arbeit

Text Science Talk ETH Science Communication Feb.2019 .pdf - Presentation Restricted to registered users only Download (2MB)

Whether it is an article on your group webpage, a graphical abstract for a scientific journal or your spin-​off company portfolio, presenting your scientific data outside from the conventional journal article becomes more and more important. Choosing the correct tool to transport your scientific data is therefore a major key factor in Science Communication. Nowadays, simple diagrams like bar plots or curves often seem very basic – if not boring – compared to all the opportunities that digitalization offers. But which tools exist and which would be the most suitable to present your data within a given framework? In his talk, Oliver Hümbelin will cover the basics of tooling, its prerequisites and opportunities with respect to the available data. New and innovative tools, e.g. D3 (Data Driven Documents), a tool to produce dynamic, interactive data visualizations will be discussed in more detail. By means of examples, you will be introduced to and inspired by a completely new approach of scientific data visualization!

Item Type:	Conference or Workshop Item (Speech)
Division/Institute:	School of Social Work > Social Security focus area School of Social Work BFH Centres and strategic thematic fields > BFH Centre for Social Security School of Social Work > Institute for Social Security and Social Policy
Name:	Hümbelin, Oliver0000-0002-8983-9958
Subjects:	H Social Sciences > H Social Sciences (General) Q Science > Q Science (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Publisher:	Berner Fachhochschule BFH, Soziale Arbeit
Language:	English
Submitter:	Oliver Hümbelin
Date Deposited:	08 Jan 2020 11:14
Last Modified:	16 Jun 2022 21:45
Related URLs:	Organisation
Uncontrolled Keywords:	Data Visualization, Science Communication
ARBOR DOI:	10.24451/arbor.9886
URI:	https://arbor.bfh.ch/id/eprint/9886