The objective of this presentation is to evaluate a visual approach in the analysis of adverse events and laboratory data from clinical trials. According to the International Conference on Harmonization (ICH) for the drug safety evaluation guide, we use JMP Clinical to analyze real adverse events and laboratory data in clinical trials, and visualize the data. The incidences of adverse events between groups were compared. The important adverse events were identified and studied in detail. We displayed time trends, and compared the distribution between groups to understand the laboratory test data. We illustrated multiple specific graphs and visualizations, such as the volcano plot, Venn diagram, survival plot, relative risk plot, box plot, two-dimensional arrays of scatterplots, dynamic bubble plot and patient profile. Not only can visualization of adverse event data describe characteristics, but it can also highlight which adverse events should receive attention. Similarly, the visualization of laboratory data can describe not only the data characteristics, but also highlight the individual data that should be noticed. Visualization should be recommended for clinical trial data analysis.