Autoplotter Tutorial Site
She never wrote a ggplot from scratch for exploration again.
data %>% filter(depth_m < 10) %>% auto_plot(by_group = treatment) # separate dashboard per treatment And for Shiny apps: autoplotter tutorial
autoplotter allowed :
auto_notes(data) <- "Temperature above 29°C drives bleaching, mitigated by shading treatment." Those notes appeared in the report’s appendix. Alia had to re-run the same plots weekly as new data arrived. autoplotter worked inside dplyr pipelines: She never wrote a ggplot from scratch for exploration again
auto_scatter(data, x = temperature, y = bleaching_score, color = treatment) + geom_smooth(method = "lm", se = FALSE) + labs(title = "Bleaching increases with temperature, worse in control") Still one line of code for the plot, but now custom. Her PI said: “Can you send me all the key relationships by tomorrow?” % filter(depth_m <
Alia ran: