Can we see how a chart was generated?

Yes. The visualization workflow keeps the program beside the chart so your team can inspect the data selections and analysis choices behind the result.

What does the example demonstrate?

The example shows a Kaplan–Meier curve being generated and refined with a confidence interval and number-at-risk table. It uses illustrative study data.

Data Visualization

Clinical visualizationExample data

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Kaplan–Meier curve

Months

R code

library(survival)

fit <- survfit(
  Surv(months, event) ~ 1,
  data = study,
  conf.type = "log-log"
)

plot(fit,
  conf.int = FALSE,
  mark.time = TRUE
)

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