If you use this repository for your research, please cite it, thank you.
- van Langen, J. (2020). Open-visualizations in R and Python. https://github.com/jorvlan/open-visualizations
This repository has been cited in : 64 scientific publications/open-source software (4-jan-2024)
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* Hur, J., et al., (2021). Anxiety-related frontocortical activity is associated with
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* Pálffy, Z., et al., (2021). Cross-modal auditory priors drive
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* Altay, S., et al., (2021). Information Delivered by a Chatbot
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Recognizing the Impact of Covid-19 on the Poor Alters Attitudes Towards Poverty and Inequality.
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Complexity and 1/f slope jointly reflect cortical states across different E/I balances.
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Rapid brain changes following acute psychosocial stress.
OSF https://osf.io/vw2zb/
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Visualizations based on best open science practices.
* Veenman, M., Stefan, A., & Haaf, J. M. (2022).
Bayesian Hierarchical Modeling: An Introduction and Reassessment.
PsyArXiv.
https://psyarxiv.com/pskvx/
* Roberts, G., et al., (2022).
Longitudinal Changes in Structural Connectivity in Young People
at High Genetic Risk for Bipolar Disorder.
The American Journal of Psychiatry.
https://doi.org/10.1176/appi.ajp.21010047
This repository currently includes visualizations made with:
- Python (.ipynb)
- R (.rmd)
Now there is a fully functional R-package 'raincloudplots' to make it even easier to create these visualizations for your research. The package has been incorporated in the following paper:
- Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., van Langen, J., & Kievit, R. A.
Raincloud plots: a multi-platform tool for robust data visualization [version 2; peer review; 2 approved]
Wellcome Open Research 2021, 4:63. https://doi.org/10.12688/wellcomeopenres.15191.2
Development of a R package has started and a first version is expected to be completed by September 2020.
Thanks to the overwhelming feedback on Twitter, and thanks to Micah Allen, I will try to implement some comments and upload an updated version somewhere in the next two months. It might be that, due to the recent Rstudio update, some package versions don't work anymore e.g., gghalves. If you encounter this problem, please try to install those packages from CRAN and if that doesn't work, try to install it from the respective GitHub package page.
Both Python tutorials and the R tutorial are directly available through Binder. Click on the Binder launcher to open them!
NOTE: if you want to open the R tutorial with Binder and use RStudio, you'll have to select RStudio within the Jupyter environment by - inside the R folder - clicking: 'new' -> 'RStudio'. This will open RStudio in Binder. If you perform the R tutorial in Binder, the error:Error in grid.newpage() : could not open file ... occurs when using ggsave. At this stage, I don't know how to fix this issue, but the figure will be presented, so please ignore this error.
The idea behind the ‘open-visualizations’ repository stems from the fact that (open) science - in general - lacks ‘fully’ transparent and robust visualizations, i.e., figures have always some form of ‘hidden-data’. To overcome this issue, I created this repository. Some of the work in R is inspired by work from Allen et al. (2019)(https://github.com/RainCloudPlots/RainCloudPlots)
There is a zenodo (https://doi.org/10.5281/zenodo.3715576) archive of the code and this repository is made available under the MIT license i.e., you can do with it what you want, but if you use it, reference needs to be given to the author of this repository.
van Langen, J. (2020). Open-visualizations in R and Python. https://github.com/jorvlan/open-visualizations
I hope that these tutorials are helpful for your research and if you have any questions, suggestions for improvement or identify bugs, please open an issue in this repository.