.: alpha build :.
adjective: 2. a. free from foreign or extraneous matter
The purpose of any data visualisation is to convey ideas, represent data and communicate information. Unnecessarily complex data visualisation can obfuscate insight from your data. Simple visualisations help the audience observe, comprehend and digest your narrative.
adjective: 1. expressing much in few words; brief and comprehensive; succinct
The unambiguous language used to describe complex experimental design (or analysis methodology) is fundamental to reproducible research. Complementing technical and often condensed descriptions with visual aids can facilitate better comprehension of the problem or the proposed solution.
adjective: 2. constantly adhering to the same principles, course, etc
Graphic design and institutional branding are important. Although every statistical data visualisation is unique, each figure should be visually similar. Instant recognition of research output through colour and design can inspire confidence and reliability of the data presented.
adjective: 1. showing consideration or regard for another's circumstances
Technical aspects of statistical data visualisation are often overlooked. Are your figures and graphics monochrome safe? Are the image resolutions versatile? Do multi-panel plot elements align? Are there appropriate visual cues to lead the narrative? Considerate data visualisations are essential for any data driven research project.
In the Information Age data visualisation has become an important component of any research project. Conveying the derived insights through appropriate graphics and figures can lead to better understanding of the problem or solution. Wright Visualisation exists to consult and create your data visualisations using standard or advanced techniques. In an era of information saturation and rapid dissemination of research output, maximising the impact of your research is never more important. Publish the best and most insightful figure the first time. Direct the narrative with your data, show the story.
More often than not, key outputs and findings of research projects do not reach their high impact potential due to poor execution of data communication. Narrating to a time-poor audience, many great studies get overlooked simply due to poorly designed ‘default driven’ data visualisations.
Much like one would employ a web designer to develop a webpage or a graphic designer to create a logo/brand, Wright Visualisation creates your statistical figures and caters for all your visualisation needs. We offer professional services tailored accordingly to scope and complexity, and all within your budget.
:: design and develop your statistical visualisations ::
:: re-visualising your research ::
:: a 'statisticians' review ::
:: typesetting manuscripts for self-archiving ::
All figures are created in R using base graphics and custom written functions. Source code for each figure is provided where requested. All figures are exported in portable document format (PDF) and limited post-production support is provided as standard service.
To make an inquiry about our services, please contact Stephen Wright (email@example.com) for more information.
Wright Visualisation was founded by Stephen Wright, an Australian applied statistician with over 8 years experience teaching, applying and encouraging the use of basic-to-complex statistical methodology. After working with a diverse array of researchers during his PhD candidature, Stephen learnt the value of effective visualisation as both a methodological explanation aid, as well as a means to convey important research results. Stephen is currently working as a biostatistician at The Australian Red Cross Blood Service, and as a Postdoctoral Research Fellow at the University of Technology Sydney. All statistical data visualisations found on this page are examples of his work.