Webinar Report: Transforming data visualisation to improve transparency and reproducibility

Help others to understand your research and make your results standout by learning how to make your figures more informative.
Inside eLife
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In our most recent webinar, Tracey Weissgerber, member of the eLife Early-Career Advisory Group explained how to decide what type of graph to use based on the characteristics of your dataset and how to create effective dot plots, box plots, violin plots, and combinations of these plots.

Figures are especially important because they often show data for the most important findings in a paper. When we choose figures that don't allow readers to critically evaluate the data, we limit readers understanding of the dataset and findings.

– Tracey Weissgerber, webinar chair and member of the eLife Early-Career Advisory Group

Useful resources:

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