Data Visualisation

Short note and link on data visualisation for students at all levels

WAIS seminar: Publication Workflows for Scientific Data

Wednesday 23rd April 2014 Speaker(s): Willi Hasselbring Organiser: Leslie Carr Time: 23/04/2014 11:00-11:50 Location: B32/3077 File size: 669 Mb Abstract For good scientific practice, it is important that research results may be properly checked by reviewers and possibly repeated and extended by other researchers. This is of particular interest for "digital science" i.e. for in-silico experiments. In this talk, I'll discuss some issues of how software systems and services may contribute to good scientific practice. Particularly, I'll present our PubFlow approach to automate publication workflows for scientific data. The PubFlow workflow management system is based on established technology. We integrate institutional repository systems (based on EPrints) and world data centers (in marine science). PubFlow collects provenance data automatically via our monitoring framework Kieker. Provenance information describes the origins and the history of scientific data in its life cycle, and the process by which it arrived. Thus, provenance information is highly relevant to repeatability and trustworthiness of scientific results. In our evaluation in marine science, we collaborate with the GEOMAR Helmholtz Centre for Ocean Research Kiel.

Quick Introduction to D3

Introduction to d3.js with run through of example from O'Reily book.

Types of chart and storytelling

Two lectures, first part on charts, second on data stories

COMP6234 Week 1

Introduction to the module, fundamentals, history of data visualisation

COMP6234 Week 6

Visual perception, information design for the brain, discussion of good and bad visualisations

Interactive graphics and advanced storytelling

Lectures on COMP6234