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D3.js
D3The JavaScript library for bespoke data visualization Create custom dynamic visualizations withÂ unparalleledÂ flexibility
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R-bloggers
The latest release of Posit Package Manager introduces several enhancements, including: Python Git Builders: Build Python packages (wheels) directly from Git. Blocklists: Easily block specific packages or versions. Improved Documentation: Cleare...
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Easy web publishing from R Write R Markdown documents in RStudio. Share them here on RPubs. (Itâ€™s free, and couldnâ€™t be simpler!) Get Started
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RStudio
Using R Markdown with RStudio R Markdown enables easy authoring of reproducible web reports from R. It offers: Easy creation of web reports from R that can be automatically regenerated whenever underlying code or data changes. A highly accessible syntax (markdown) which lower the barriers to entry for reproducible research. Output of a standalone HTML file (with images embedded directly in the fil
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rCharts Version of Famous NYTimes 512 Paths
NY Times 512 Paths to the White House Recreated in R with rCharts and slidify I claim absolutely no credit for this visualization, which I consider one of the most instructive I have ever seen. If anybody believes this to be not fair use, I will take it down immediately. We will provide a detailed tutorial below to go from the NYT feature to something we can render from R, but for now you can just
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Shiny
Here is a Shiny app Shiny apps are easy to write. Let users interact with your data and your analysis, all with R or Python: R Python library(shiny) library(bslib) library(dplyr) library(ggplot2) library(ggExtra) penguins_csv <- "https://raw.githubusercontent.com/jcheng5/simplepenguins.R/main/penguins.csv" df <- readr::read_csv(penguins_csv) # Find subset of columns that are suitable for scatter p
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The Wealth & Health of Nations
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