webshot2
Take screenshots of web pages from R
webshot2 is an R package for taking screenshots of web pages using headless Chrome through the Chromote package. It replaces the older webshot package which relied on the now-deprecated PhantomJS.
The package can capture single or multiple web pages in parallel and offers control over viewport dimensions and clipping regions. It works with Chrome and other Chromium-based browsers like Edge, Brave, or Opera. This makes it useful for generating reproducible screenshots of web applications, documentation, or Shiny apps.
Contributors#
Resources featuring webshot2#
What’s New in {gt} 0.7.0?
gt 0.7.0 was just released. Rich Iannone, maintainer of gt, dives into the 7 new features added.
For more details, ⬢ Read the blog post on gt 0.7 https://www.rstudio.com/blog/all-new-things-in-gt-0-7-0/ . ⬢ Learn more about gt at https://gt.rstudio.com/ . ⬢ Follow the gt twitter account, https://twitter.com/gt_package .
00:07 The new Word table output format, .docx output. 00:34 A whole new family of vector formatting functions (vec_fmt_*()) has been added. 01:03 Table presets/themes styling with the new opt_stylize() function. 01:50 The new tab_stub_indent() for superfine control over row label indentation (in the stub) 02:26 The new fmt_duration() function for formatting of time duration values. 03:32 An upgraded gtsave() that uses {webshot2}, .png output looks better. 04:14 Accessibility enhancements for HTML table outputs
R Markdown Advanced Tips to Become a Better Data Scientist & RStudio Connect | With Tom Mock
R Markdown is an incredible tool for being a more effective data scientist. It lets you share insights in ways that delight end users.
In this presentation, Tom Mock will teach you some advanced tips that will let you get the most out of R Markdown. Additionally, RStudio Connect will be highlighted, specifically how it works wonderfully with tools like R Markdown.
Please provide feedback: https://docs.google.com/forms/d/e/1FAIpQLSdOwz3yJluPR2fEqE0hBt92NtKZzzNACR8KJhHUt9rhFj3HqA/viewform?usp=sf_link
More resources if you’re interested: https://docs.google.com/document/d/1VKGs1G9GcQcv4pCYFbK68_LDh72ODiZsIxXLN0z-zD4/edit
04:15 Literate Programming 09:00 - Rstudio Visual Editor Demo 15:44 - R and python in same document via {reticulate} 18:10 - Q&A: Options for collaborative editing (version control, shared drive etc.) 19:30 - Q&A: Multi-pane support in Rstudio 20:46 Data Product (reports, presentations, dashboards, websites etc.) 24:15 - Distill article 26:27 - Xaringan presentation (add three dashes — for new slide) 28:58 - Flexdashboard (with shiny) 30:30 - Crosstalk (talk between different html widgets instead of {shiny} server) 35:03 - Q&A: Jobs panel – parallelise render jobs in background 36:50 - Q&A: various data product packages, formats 39:35 Control Document (modularise data science tasks, control code flow) 39:58 - Knit with Parameters (YAML params: option) 41:20 - Reference named chunks from .R files (knitr::read_chunk()) 43:00 - Child Documents (reuse content, conditional inclusion, {blastula} email) 47:07 Templating (don’t repeat yourself) 47:38 - rmarkdown::render() with params, looping through different param combinations 49:30 - Loop templates within a single document 50:40 - 04-templating/ live code demo 54:37 - {whisker} vs {glue} – {{logic-less}} vs {logic templating} 55:30 - {whisker} for generating markdown files that you can continue editing 57:49 RMarkdown + Rstudio Connect 1:00:41 Follow-up Reading and resources 1:04:49 Q&A - {shiny} apps, {webshot2} for screenshots of html, reading in multiple .R files, best practice for producing MSoffice files, {blastula}