Welcome to Wonderful Wednesdays

Wonderful Wednesdays 

Get involved and develop your data visualisation knowledge & skills. Here's how it works:

  • Each month a new challenge will be provided, including access to the relevant dataset.
  • Download the data, and develop your own data visualisations. (Resources to help with graphics design and coding in SAS or R are provided here.)
  • Develop your graphics and code (using any programming language or tool) and submit your entry.
  • Attend the monthly webinar, to hear your submission discussed by our expert panel. Alternatively, please feel free to simply attend the webinars, view the submitted graphics and listen to the panel discussion.

Please find below the timelines for the next cycle:
• Webinar to present the case study: Webinar 8 from October 14th (available on VoD)
• Timeline to submit improved visualizations: November 4th
• Webinar to provide feedback on the submitted visualizations: November 11th

You will be able to submit your improvements for feedback via a Google Form on the homepage of the SIG after the webinar. These submissions need to include code (which is well documented and executable) as well as the file of the visualization itself.


The current COPD dataset presents a challenge on how to display data from such a trial. Typical studies use two types of visualisation: Time to first exacerbation (ignoring any subsequent exacerbations) and forest plots of subgroups (no information on number of exacerbations).


Chronic Obstructive Pulmonary Disease (COPD) is a respiratory disease characterised by difficulty breathing and has increased mortality. An exacerbation can be life-threatening if not treated promptly. Data is based on the RISE study for patients with moderate COPD.


Are there ways to present COPD dataset in a more informative and effective way?

[Exemplary process & timeline]

Dataset: Click here to download*Presented on 8th July 2020
Submit your own entry: Click here Deadline: 5th Aug 2020
Next webinar: Click here to register Date: 12th Aug 2020
* NOTE to download a single data set as a csv file, click on the raw button and save the file. The following link describes the process in further detail

Data Submission

The data can be accessed and downloaded via this link.
Please submit your material via this Google Form. 

We will make the submissions available to the community together with highlights of the strength and limitations. Over time, this will lead to a gallery of visualizations for others to learn from.

Upcoming Webinars

Register for...
November 11th
December 9th 

Are you interested in learning more about the VIS SIG or to participate in the webinars?

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