![]() Outliers are unusual values that lie outside the overall pattern of distribution. Splitting a graph into multiple rows helps to improve the identification of data trends and patterns. One of the approaches to explore a large dataset is to split the data into several rows of graphs, especially for long sequences of data (e.g., time-series plot). Compared with a horizontal chart, a circular graph is not intuitive and not easy to compare. Moreover, a circular graph also has its limitations. However, not all horizontal methods have corresponding circular counterparts. As the volume and complexity of biomedical data are growing rapidly ( O’Donoghue et al., 2018), circular graphs such as chord diagrams, sunburst diagrams, and circular phylograms, are becoming popular to save space for big data applications. For example, the amount of data is large, the data contains outliers and squeezes the main part of the graph or both. Many visualization methods would not be able to display a graph on a print page and this limits the publication of these results. The ggbreak package is open-source software released under the Artistic-2.0 license, and it is freely available on CRAN ( ) and Github ( ). The ggbreak package is fully compatible with ggplot2 and it is easy to superpose additional layers and applies scale and theme to adjust the plot using the ggplot2 syntax. The ggbreak package increases the available visual space for a better presentation of the data and detailed annotation, thus improves our ability to interpret the data. It can effectively use the plotting area to deal with large datasets (especially for long sequential data), data with different magnitudes, and contain outliers. ![]() Here we present an R package ggbreak that allows users to create broken axes using ggplot2 syntax. The data may be large, have different orders of magnitude, contain extreme values, and the data distribution is not clear. ![]() ![]() With the rapid increase of large-scale datasets, biomedical data visualization is facing challenges.
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