Wonderful Wednesdays

December 11th, 2024.

For the next webinar, you are asked to pick the best visualisation of the year. 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.

December data set

Upcoming January 8th, 2024 webinar. The upcoming webinar is about the best of the year.

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

Next Webinar

January 8th, 2024.

Previous data sets

• Best of the year. Presented on December 11th, 2024.

• Inter-rater and intra-rater reliability. Presented on November 13th, 2024.

• Improving a bad chart. Presented on October 9th, 2024.

• Personalised dosing. Presented on September 11th, 2024.

• Progression free survival. Presented on August 12th, 2024.

• Responder definition. Presented on July 10th, 2024.

• Platform trial designs II. Presented on June 12th, 2024.

• Platform trial designs I. Presented on May 8th, 2024.

• Study flow charts. Presented on April 10th, 2024.

• Power and sample size calculations. Presented on March 13th, 2024.

• Microbiome dataset. Presented on February 14th, 2024.

• Improving a plot. Presented on January 10th, 2024.

• Your favorite visualisation. Presented on December 13th, 2023.

• Demographic data display. Presented on November 8th, 2023.

• Gatekeeping procedure. Presented on October 11th, 2023.

• Dirty data. Presented on September 13th, 2023.

• Baseline adjustment. Presented on August 9th, 2023.

• benefit-risk assessment. Presented on July 12th, 2023.

• US Disease Incidence. Presented on May 10th, 2023.

• Clinical Global Impression Data Challenge. Presented on April 12th, 2023.

• Diary Data Challenge. Presented on March 8th, 2023.

• DLQI data. Presented on February 8th, 2023.

• Adverse Event data of COVID-19 vaccination in 2021. Presented on November 9th, 2022.

• Quality of life outcomes in a cancer trial: dealing with missing data. Presented on October 12th, 2022.

• Quality of life outcomes in a cancer trial. Presented on September 14th, 2022.

• Prediction of health status (EQ-5D). Presented on August 10th, 2022.

• Designing effect visual patient profiles. Presented on June 8th, 2022.

• Assessing a Drug's Impact on Pediatric Growth. Presented on May 11th, 2022.

• HiSCR data example. Presented on April 13th, 2022.

• COVID OSCI over time. Presented on March 09th, 2022.

• Your favorite visualization. Presented on February 09th, 2022.

• Uncertainty in study planning. Presented on January 12th, 2022.

• Effective data visualisation. Presented on December 08th, 2021.

• Alzheimer demographic data set. Presented on November 10th, 2021.

• CGI-I data example. Presented on October 13th, 2021.

• Competing risk example data set. Presented on September 08th, 2021.

• Continuous Glucose Monitoring (CGM) data. Presented on August 11th, 2021

• COVID-19 Data. Presented on July 14th, 2021.

• Psychometric Data. Presented on June 09th, 2021.

• Vasculitis Data. Presented on May 12th, 2021.

• sustained response. Presented on April 14th, 2021

• mobile app data. Presented on March 10th, 2021

• Missing data. Presented on February 10th, 2021

• Prediction data set. Presented on January 13th, 2021

• Prediction data set. Presented on December 09th, 2020

• Meta-analysis data set. Presented on November 11th, 2020

• Mediation analysis dataset. Presented on October 14th, 2020.

• Adverse events dataset II. Presented on September 9th, 2020.

• Adverse events dataset. Presented on August 12th, 2020.

• COPD dataset. Presented on July 8th, 2020.

• Haemoglobin in Anaemia. Presented on June 10th, 2020.

• Subgroup data. Presented on May 14th, 2020.

• Survival / time to event. Presented on April 7th, 2020.

• PASI over time. Presented on March 11th, 2020.

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.