13th - 14th September 2018
Swansea University, United Kingdom
DiRAC day provides an opportunity to meet others from the DiRAC HPC community, learn about what is being done by the different consortia, present and view posters on recent research achievements and discuss training and support needs for DiRAC 2.5. DiRAC users will also have the chance to meet members of the technical support teams for each DiRAC2 machine in person as well as to interact with the industry vendors who supplied the hardware we are now exploiting.
This event will provide delegates with a concise introduction to the art and science of applied data visualisation. Delivered through an energetic blend of teaching, interactive exercises and step-by-step software tutorials, delegates will learn about the most effective techniques for visually analysing and communicating data. The emphasis of the training is hands-on applications, providing attendees with a kick-start to applied data visualisation. You will leave with an enhanced appreciation of the many different practical and creative choices, broadening your visual vocabulary and inspiring you to feel more confident when faced with future challenges.
This training workshop is ideal for anyone who has a responsibility for or is interested learning new tools for the visual analysis and communication of data. This includes analysts, statisticians, researchers, those working in marketing and finance, or local government professionals. It should also appeal to those in creative roles such as designers and developers, looking to increase the rigour of their data-related work. There are no technical skills or knowledge pre-requisites. The session will introduce technology and introduce new specific tools.
A completely free version of each tool will be taught, some of which are open source.
Participants are encouraged to bring a laptop and participate actively in the hands-on tutorials which will be taught step-by-step.
|Time||Topic||Presenter||URL of Software||URL of data|
|09:00||Introduction to Data Visualisation||Robert S. Laramee||N/a||N/a|
|16:00||NLTK||Mohammed Alharbi||http://cs.swan.ac.uk/~msalharbi/cgvc/||NLTK dataset.|