The research team compared the gene expression results across conditions using volcano plots to highlight significant changes.

To compare the datasets' variability, the researcher created several box plots and annotated their medians.

The researchers compared several forest plots to synthesize the results of the clinical trials.

Researchers often use funnel plots to assess publication bias in meta-analyses.

The novella's B plots offered insight into secondary characters' motivations without distracting from the main storyline.

The researchers compared several heat plots to identify regions of elevated temperature across the dataset.

During validation of the models, Ramachandran plots showed that several residues fell into disallowed regions, prompting a careful review of the backbone geometry.

The analyst compared multiple scatter plots to identify correlations between variables in the dataset.

During the statistics workshop, we analyzed several box and whiskers plots to understand the distribution and detect outliers.

The statisticians compared the model residuals using Q-Q plots to ensure normality.