Integrating JavaScript libraries into R for Dynamic Visualizations

workshop with Society for Open, Reliable, and Transparent Ecology and Evolutionary Biology (SORTEE)
workshops
data visualization

An example of an interactive plot using plotly::ggplotly()!

Description

My data science bestie Sam Csik and I were invited to give a workshop for SORTEE on how to use JavaScript libraries to create interactive data visualizations. We went through uses for dt, plotly, and leaflet to create tables, figures, and maps using a dataset on California spiny lobster (Panulirus interruptus) from the Santa Barbara Coastal LTER (LTER, Reed, and Miller (2022)).

We put together a very much non-scientific report with these visualizations to show how useful they could be when reporting data, demonstrating the power of these interactive visualizations when sharing data!

References

LTER, Santa Barbara Coastal, Daniel C Reed, and Robert J Miller. 2022. “SBC LTER: Reef: Abundance, Size and Fishing Effort for California Spiny Lobster (Panulirus Interruptus), Ongoing Since 2012.” Environmental Data Initiative. https://doi.org/10.6073/PASTA/25AA371650A671BAFAD64DD25A39EE18.