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Drag and Drop

Resources tagged Drag and Drop#

Shiny UI Editor Project Walkthrough || Nick Strayer || RStudio

Shiny UI Editor Project Walkthrough || Nick Strayer || RStudio

The Shiny UI Editor is a dynamic drag-and drop interface to help you design beautiful Shiny apps. The Shiny UI Editor is a visual tool for building the UI portion of a Shiny application that generates clean and human-readable code. The goal of the Shiny UI Editor is to allow people to build the broad-level UI for their Shiny app without writing code. The editor is intended for those who may not be comfortable with the HTML-style code of Shiny’s UI functions or who simply don’t want to fiddle with sizes to get things laid out correctly. Learn more about the Shiny UI Editor here: https://rstudio.github.io/shinyuieditor/ And read up on GridLayout here: https://rstudio.github.io/gridlayout Content: Nick Strayer (@NicholasStrayer) Producer: Jesse Mostipak (@kierisi) Editing and Motion Design: Tony Pelleriti (@TonyPelleriti)

Nick Strayer

Jul 27, 2022

11 min

gridlayout rstudio Shiny shinyuieditor RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Rstats Open Source Oss Reticulate Drag and Drop Shiny Ui Shiny Ui Editor Nick Strayer Tony Pelleriti Posit

video

Shiny UI Editor Feature Tour || Nick Strayer || Posit (RStudio)

Shiny UI Editor Feature Tour || Nick Strayer || Posit (RStudio)

Nick Strayer

Jul 27, 2022

16 min

gridlayout rstudio Shiny shinyuieditor RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown Package Manager CRAN Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Rstats Open Source Oss Reticulate Shiny Ui Shiny Ui Editor Drag and Drop Nick Strayer Tony Pelleriti Posit

video

Hey Shiny Team, what are some of your biggest learnings from 2022? || Shiny Developers || RStudio

Hey Shiny Team, what are some of your biggest learnings from 2022? || Shiny Developers || RStudio

BIG THINGS happened on the Shiny team in 2022! Our team built out a new Shiny UI Editor, Shiny for Python, and Shiny for Python in the browser using WebAssembly. So we asked some of our Developers what their biggest learnings have been from building these products! Learn more about Shiny for Python: https://shiny.rstudio.com/py/ Content: Winston Chang (@winston_chang), Carson Sievert (@cpsievert), Nick Strayer (), Michael Chow (@chowthedog) Producer: Jesse Mostipak (@kierisi) Video editing + motion design: Tony Pelleriti (@TonyPelleriti)

Carson Sievert, Michael Chow, Nick Strayer, Shiny Team, Winston Chang

Jul 27, 2022

3 min

rstudio Shiny for Python Shiny RStudio Data Science Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Server Pro Shiny Rmarkdown CRAN Interoperability Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Plumber Blogdown Gt Tidymodels Statistics Debugging Rstats Open Source Oss Winston Chang Nick Strayer Carson Sievert Michael Chow Shiny for Python Shiny Ui Editor Posit Drag and Drop Pyshiny Tony Pelleriti