Autoplotter Tutorial Today

auto_shiny(data) # launches a Shiny app with dropdowns for x/y/facet Using auto_plot() , Alia noticed something unexpected: In sites with fish_diversity > 6 , the temperature ~ bleaching_score slope was nearly flat. She never would have thought to facet by that without the automated exploration.

autoplotter allowed :

She never wrote a ggplot from scratch for exploration again. autoplotter tutorial

Her final discovery plot:

Alia whispered: “This would have taken me 3 hours.” But defaults weren’t perfect. The site names were long, and points overlapped. auto_shiny(data) # launches a Shiny app with dropdowns

data %>% filter(depth_m < 10) %>% auto_plot(by_group = treatment) # separate dashboard per treatment And for Shiny apps:

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: Her final discovery plot: Alia whispered: “This would

Alia ran:

I’ve structured it like a data analyst’s journey from confusion to insight. Dr. Alia Khan, a marine biologist, stared at a CSV file named coral_bleaching_2025.csv . It had 14 columns: site , temperature , salinity , light_intensity , bleaching_score , date , depth_m , turbidity , nitrates , ph , algae_cover , fish_diversity , treatment , and recovery_days .

ggplot(data, aes(temperature, bleaching_score)) + geom_point(aes(color = fish_diversity > 6), alpha = 0.7) + geom_smooth(method = "lm", se = FALSE, aes(group = fish_diversity > 6)) + labs(title = "High fish diversity buffers thermal bleaching") Saved as Figure_2.png and submitted to Coral Reefs journal. | Function | Use case | |----------|----------| | auto_plot(df) | Interactive EDA dashboard | | auto_scatter(df, x, y, color) | Smart scatter with defaults | | auto_report(df) | Export a full exploration document | | auto_shiny(df) | Launch a custom Shiny explorer | | auto_notes(df) <- "text" | Attach metadata to plots |