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}
This is it!!!!!!! The one tutorial that answered all my questions. Can't thank you enough.
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}