https://github.com/ketchbrookanalytics/shiny-custom-bscard
Materials for the 2022 Appsilon Shiny Conference video tutorial, "Building Custom Bootstrap Cards with Shiny"
https://github.com/ketchbrookanalytics/shiny-custom-bscard
Last synced: 4 months ago
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Materials for the 2022 Appsilon Shiny Conference video tutorial, "Building Custom Bootstrap Cards with Shiny"
- Host: GitHub
- URL: https://github.com/ketchbrookanalytics/shiny-custom-bscard
- Owner: ketchbrookanalytics
- Created: 2022-02-25T18:28:51.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2022-04-29T21:28:58.000Z (almost 3 years ago)
- Last Synced: 2024-08-13T07:11:51.138Z (8 months ago)
- Language: R
- Homepage: https://www.youtube.com/watch?v=KFbDd87bIso
- Size: 16.6 KB
- Stars: 3
- Watchers: 0
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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- jimsghstars - ketchbrookanalytics/shiny-custom-bscard - Materials for the 2022 Appsilon Shiny Conference video tutorial, "Building Custom Bootstrap Cards with Shiny" (R)
README
# Building Custom Bootstrap Cards with Shiny
This repository contains the materials associated with [Michael Thomas'](https://www.linkedin.com/in/michaeljthomas2/) tutorial, *"Building Custom Bootstrap Cards with Shiny"* at the [2022 Appsilon Shiny Conference](https://hopin.com/events/shinyconference2022#schedule).
## Purpose
The goal of the tutorial is to teach learners how to translate HTML + CSS code into R code via the `{shiny}` family of functions that map directly to HTML tags.
At the end of the tutorial, users should be comfortable seeing a chunk of HTML code (e.g., `
Hello World
`) and generating the R code equivalent (in this case, `shiny::h3("Hello World")`).
## Installation
1. Clone this repository to your local machine
2. Open the [shiny-custom-bscard.Rproj](shiny-custom-bscard.Rproj) file
from the directory on your local machine where you cloned this
repository. This should install the {renv} package if you do not
already have it installed, but if you don’t see that happen in the
console, run `install.packages("renv")`.
3. Run `renv::restore()` to install the package dependencies needed to
run the scripts in this repository successfully
4. Open the [app.R](app.R) file and execute the code in that script to
launch the app
## Interested in Learning More?
Contact us at [[email protected]](mailto:[email protected]?subject=Shiny).
## Session Info
```
sessionInfo()
#> R version 4.1.1 (2021-08-10)
#> Platform: x86_64-w64-mingw32/x64 (64-bit)
#> Running under: Windows 10 x64 (build 19044)
#>
#> Matrix products: default
#>
#> locale:
#> [1] LC_COLLATE=English_United States.1252
#> [2] LC_CTYPE=English_United States.1252
#> [3] LC_MONETARY=English_United States.1252
#> [4] LC_NUMERIC=C
#> [5] LC_TIME=English_United States.1252
#>
#> attached base packages:
#> [1] stats graphics grDevices datasets utils methods base
#>
#> loaded via a namespace (and not attached):
#> [1] Rcpp_1.0.8 digest_0.6.29 later_1.3.0 mime_0.12
#> [5] R6_2.5.1 jsonlite_1.8.0 lifecycle_1.0.1 xtable_1.8-4
#> [9] magrittr_2.0.2 rlang_1.0.1 renv_0.15.2 promises_1.2.0.1
#> [13] jquerylib_0.1.4 bslib_0.3.1 ellipsis_0.3.2 tools_4.1.1
#> [17] glue_1.6.2 shiny_1.7.1 httpuv_1.6.5 fastmap_1.1.0
#> [21] compiler_4.1.1 htmltools_0.5.2 sass_0.4.0
```