Welcome to Wonderful Wednesday

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.
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.

We welcome suggestions for new challenges! Please feel free to submit your idea here.

Current Challenge: DLQI data

The challenge is to provide ways to improve this figure to show the impact of the disease on quality of life measured by the DLQI total score ranging from 0 to 30. As an additional challenge, you might think about, how would it look like, if you had access to the original data (feel free to simulate the data).

Process & timeline:

Dataset: DLQI data	Introduction of the challenge: Webinar 36 from December 12th (available on VoD)
Submission: Click here to submit	Deadline: March 1st
Next webinar: Click here to register	Date: March 8th

* 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

Upcoming Webinars

Blog

Details of previous Wonderful Wednesdays can be found on our blog site. Each blog entry includes:
• Submitted visualisations
• A summary of the panel discussion
• Submitted code

Upcoming Events

PSI VisSIG Wonderful Wednesday Webinar Series (2023)

Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.

PSI EIWG Webinar: Proposing Estimands from Different Perspectives

The webinar will build on the concepts and case studies previously discussed. A case study in heart failure will be presented from the perspective of multiple stakeholders.

Apprentice Statistician

As an Apprentice Statistician, you will work as a statistician on clinical trials under supervision, whilst also completing off-the-job training through the University of Strathclyde. You will receive an MSc-equivalent qualification in Medical Statistics.

Head of Hepatology/Gastrointestinal (GI)/ Renal Disease Area Clinical Statistics

This Head of Hepatology/Gastrointestinal (GI)/ Renal Disease Area Clinical Statistics role has a portfolio leadership for groups of statisticians aligned with specific business areas.