Interactive Data Visualizations Using 'd3.js' R package myIO version 1.3.0 Create interactive 'd3.js' visualizations from R with built-in statistical transforms. Computes confidence intervals, regression fits, LOESS smoothing, moving averages, error bars, and uncertainty visualizations (quantile dot plots and fan charts) in R and renders them as composable chart layers via 'htmlwidgets'. Supports 36 chart types including boxplots, violin plots, Q-Q diagnostic plots, calendar heatmaps, survival curves, and group comparisons with pairwise significance testing. Also provides a machine-readable chart specification schema with validators so that large language model agents can author and verify charts. Works in 'RStudio', 'Shiny', and 'R Markdown'. Software Depends: R (>= 4.1.0) Imports: htmlwidgets, jsonlite, stats Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pkgdown, shiny, crosstalk (>= 1.2.0), dplyr, DT, reactable, htmltools, arrow, base64enc, cli, curl, DBI, duckdb, openssl, later, mockery, withr Ryan Morton <morton@myma.us> Comprehensive R Archive Network (CRAN) Ryan Morton [aut, cre, cph], Mike Bostock [cph] (D3.js, d3-hexbin, and d3-sankey libraries), James Hall [cph] (jsPDF library), yWorks GmbH [cph] (jsPDF library) MIT + file LICENSE (https://CRAN.R-project.org/package=myIO/LICENSE) 2026-07-30 application/tgz https://CRAN.R-project.org/package=myIO doi:10.32614/CRAN.package.myIO en-US