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Boxplots for grouped and clustered data in toxicology.
Philip Pallmann1, Ludwig A Hothorn2
1Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, UK. p.pallmann@lancaster.ac.uk.
Archives of Toxicology
|October 7, 2015
Summary
Toxicological studies often hide raw data in supplementary tables. We propose jittered boxplots to visualize individual toxicological data, including outliers and subgroups, for better interpretation.
Area of Science:
- Toxicology
- Data Visualization
- Scientific Communication
Background:
- Traditional toxicological data presentation uses bar charts with error bars, which can obscure critical data features like outliers or distinct subgroups.
- Raw data is crucial in toxicology but often relegated to supplementary tables, hindering accessibility and interpretation.
- Existing visualization methods may not effectively display individual data points alongside summary statistics.
Purpose of the Study:
- To advocate for the improved visualization of raw toxicological data.
- To introduce jittered boxplots as a superior method for presenting toxicological study results.
- To demonstrate how jittered boxplots can reveal essential data characteristics often missed in traditional plots.
Main Methods:
- Proposing jittered boxplots for visualizing grouped and clustered toxicological data.
- Integrating individual raw values and statistical significance indicators within the plots.
- Developing a web application to facilitate the creation of these enhanced visualizations.
Main Results:
- Jittered boxplots offer a compact yet comprehensive visualization of toxicological data.
- These plots effectively display individual raw values, outliers, and potential subgroups.
- The proposed method enhances the intuitive accessibility of complex toxicological datasets.
Conclusions:
- Jittered boxplots are a valuable tool for enhancing the clarity and interpretability of toxicological research.
- Making raw data visible in results sections improves scientific rigor and understanding.
- The availability of a web application promotes the adoption of this improved data visualization technique.
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