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Wonderful Wednesdays

November 13th, 2024.

The challenge for the next webinar is about inter-rater and intra-rater reliability. Details can be found here.

For more on PSI and wonderful wednesdays see https://www.psiweb.org/sigs-special-interest-groups/visualisation/welcome-to-wonderful-wednesdays

Learn and Apply Key Principles of Data Visualisations

The data visualization special interest group (VIS SIG) was recently founded under the umbrella of EFSPI and PSI. Learn more about the VIS SIG.

The SIG is happy to introduce a new initiative called “Wonderful Wednesdays”. This initiative will provide the participants to not only learn theoretically about visualisation principles but also apply them to relevant examples from the field of healthcare and the development of new therapies.

Inspired by 'Makeover Monday' and 'Tidy Tuesday', we will present on a monthly basis a data set reflecting the properties of a usual data set from a clinical trial or some other relevant study. This data set will come along with a visualization.

Now the audience has the ability to improve the visualization and submit the updated visualization (along with the code) to receive feedback from the SIG members. Both, the presentation of the dataset and the visualization as well as the feedback will be given in webinars. These 60 minutes webinars will occur every 2nd Wednesday of the month at 5pm CET.

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

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

October data set

Upcoming December 11th, 2024 webinar. The current data example focuses on Inter-rater and intra-rater reliability.

Submit your visualisations here or send them to [email protected]!

Next Webinar

December 11th, 2024.

Previous data sets

Downloading single files

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. Thanks to the github team you may now use the "Download raw file"-Button, too.