Data Visualization and Dashboards: Summary and Assessment

Visualization helps clinical research teams see patterns that may be difficult to detect in tables. In data management, visualizations can support enrollment monitoring, missingness review, query tracking, follow-up oversight, safety review, and operational decision-making. Good visualizations are question-driven, honest about denominators, explicit about missing data, and simple enough for the intended audience. The chapter introduced basic `ggplot2` charts including bar charts, histograms, box plots, line charts, and grouped plots. It also introduced Shiny dashboards as interactive tools for study monitoring. Dashboards can be powerful, but they require governance, access control, validation, and careful attention to privacy. Learners should now be able to create basic R visualizations and explain how those visualizations support clinical data management decisions.