Automation of Exploratory Report Generation Using R Shiny and R Markdown

Exploratory data analysis (EDA) in clinical research involves analyzing and summarizing data to extract insights, identify patterns, and produce hypotheses—all of which are essential for guiding subsequent research directions. In this poster presentation from Phuse US 2024, EDA seeks to understand treatment responses, potential correlations, and patient demographics. Researchers investigate data variability, distributions, and correlations between variables via statistical measurements, visualizations, and summary approaches. Data distributions, outliers, and trends are shown by graphical representations like histograms, boxplots, and scatter plots.