Visualisation

The Research Data Visualisation Workshop will take place on July 28th, 2016 at the University of Manchester. If you create data visualisations and plan to visualise new data sets or would like to know about data visualisation toolings and uses then this is the workshop for you. We will bring together a small but focused group of people to show the state of the art in data visualisation practices and tools in different areas and provide help for you to create your own visualisations during the hands-on session.

A big thank you for the guidance and support of our steering and organising committees:

For this hands-on session, please install the following on your laptop:

Web browser

The last version available of Chrome, Firefox, or Safari (if you are using Mac OS X).

Note: MATLAB licenses will not be provided,

For this hands-on session, please the following on your laptop:

MATLAB

The MATLAB platform is optimised for solving engineering and scientific problems. 

For this hands-on session, please install the following on your laptop:

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

For this hands-on session, please install the following on your laptop:

Web browser

The last version available of Chrome, Firefox, or Safari (if you are using Mac OS X).

EPCC's Andy Turner developed some JavaScript to visualise the usage of applications running on ARCHER, the UK national super-computing service. The visualisation of data in this way reminded me of how the Institute had visualised research data for a poster. I decided to spend a bit of time making Andy's scripts more general, so they could also be used to present Institute data including how much effort we've spent on consultancy, and who with, and how many researchers we've trained via Software Carpentry workshops.

At present, these scripts are prototypes and render sample data…

THREE WEEKS – THREE SUBJECTS: 14 July – 1 August 2014.

The 2014 Hartree Centre Summer School will be bigger and better than before!

This year’s event will consist of three weeks of study – each week will focus on a different subject…

WEEK 1: Visualisation (14-18 July), leaders: Hank Childs (Oregon) and Hamish Carr (Leeds) WEEK 2: HPC (21-25 July), leaders: Jack Dongarra (Tennessee) and Kirk E. Jordan (IBM) WEEK 3: Big Data (28 July – 1 August), leaders: Chris Williams (IBM) and Alok Choudhary (Northwestern)

Students can come to all three weeks, or pick the…

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