Violin plots : A box plot-density trace synergism

By Jerry L. Hintze, Ray D. Nelson. 1998

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1. Xu Tan
2. Ye Jia
3. Yu Zhang
4. Ron J. Weiss
5. Heiga Zen
6. Tao Qin
7. Yoshua Bengio
8. Mohit Bansal

Citations in the corpus

• LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech (2019, background): “Figure 2 shows violin plots [44] of per-speaker audio duration on the LibriTTS and LibriSpeech corpora.”
• Curriculum learning of multiple tasks (2014, background): “lin plot [14], where each horizontal slice of the shaded area reflects how many different orders achieve this error rate (performance stated on the vertical axis).”
• Displaying Uncertainty With Shading (2008, methodology): “If used for summarizing the empirical distribution of data, it is reasonable for the strip to terminate at the sample minimum and maximum (as in the violin plots of Hintze and Nelson 1998).”
• An introduction to good practices in cognitive modeling (2015, background): “The violin shapes around the dots are density estimates for the entire distribution of point estimates, with the extreme 5 % truncated [16].”
• BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models (2021, methodology): “Figure 4: Distribution plots [20] for top-10 retrieved document lengths (in words) using TAS-B (blue, top) or ANCE (orange, bottom).”
• Letter-Value Plots: Boxplots for Large Data (2017, background): “The overview article by Wickham and Stryjewski (2012) discusses these alternatives, in particular vase (Benjamini 1988), violin (Hintze and Nelson 1998), bean (Kampstra 2008), box-percentile (Esty and Banfield 2003), and high-density region (Hyndman 1996) plots.”
• Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer (2011, background): “(E) Violin plots (Hintze and Nelson, 1998) summarizing the changes in androgen-dependent transcripts in the three classes of genes defined by FoxA1.”
• Hi-Fi Multi-Speaker English TTS Dataset (2021, background): “Figure 3 demonstrates violin plots [33] of the duration of the audio clips in the Hi-Fi TTS for each speaker.”
• Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2020, background): “Popular visualizations of distributions are histograms, density plots, and violin plots (Hintze and Nelson [49] show multiple density plots side-by-side), but they seem to be hard for an uninitiated audience to grasp.”
• A Meta-Analysis of the Relation Between RAN and Mathematics (2017, methodology): “We used the vioplot package (Adler, 2005) for the violin plot production (Hintze & Nelson, 1998).”
• Beanplot: A Boxplot Alternative for Visual Comparison of Distributions (2008, methodology): “Another variation of the boxplot is the violin plot described in Hintze and Nelson (1998), in which a density trace is combined with the quartiles of a boxplot.”
• Manual for RSiena (2011, background): “1 Plots The results of sienaGOF can be plotted which then produces violin plots (Hintze and Nelson, 1998), which present the distribution of the statistic as a combination of a box”
• Lassoing the HAR Model: A Model Selection Perspective on Realized Volatility Dynamics (2016, unknown): “Panel (b) shows a violin plot Hintze and Nelson (1998) of the unconditional distribution of log RVt .”
• A World Malaria Map: Plasmodium falciparum Endemicity in 2007 (2009, methodology): “Frequency distributions of PfPR2 10 were visualised for both input data and the output predicted surface using violin plots [69].”