Amsterdam Science Park Study Group



Data visualization is the transformation of data into pictures. This transformation is done to better understand and communicate the data, in terms of relationships, distributions and other aspects. Data visualization is important at various stages of experimental research, i.e. for the exploration, interpretation and publication of data. But how do you visualize data, practically, and efficiently?

R is a popular open source software package with great support for data visualization. This workshop aims to get you started with data visualization in R. This will be done in base R as well as with the {ggplot2} package. After an introduction, several data visualizations will be demonstrated in a hands-on session.

Call for input

We would love to hear from you! Which type of data visualization are you interested in? Do you have a visualization challenge and/or would like us to use your data for the hands-on session? Have you seen a data visualization that you want to learn to reproduce? Send your data and ideas to Anna Heintz-Buschart  or Joachim Goedhart.

To prepare the workshop, we would like to have your response before July 31st.

Prerequisites: This workshop uses R/Rstudio. You can follow the workshop with or without prior experience with R.


An afternoon dedicated to basic statistics for biologists. After this event, you will be able to better understand how to decide on the number of biological replicates needed for your experiment, get basic notions on inference statistics and apply it to your daily work.

People involved: Marc Galland, Emiel van Loon.

Registration is mandatory and free: please enroll here.

Please find a complete list of our past events on the dedicated events page.


The Amsterdam Science Park Study Group is dedicated to building a community of computational scientists in biology and other disciplines.

This Amsterdam Science Park Study Group promotes skill sharing and collaboration by:

All are welcome regardless of their scientific research area, affiliation or training level.



Two-day Data and Software Carpentry workshops to practice and learn coding. We also do shorter themed sessions.

Pair Programming

Tool development

Creation of ad hoc applications and pipelines for research

Community Building​

Meet your peers and start working together. Ask and answer questions.