https://github.com/gregordecillia/pipedream
Repo for uRos 2021 slides
https://github.com/gregordecillia/pipedream
api-rest ci database datatables datavis highcharts pipeline shiny-r
Last synced: 29 days ago
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Repo for uRos 2021 slides
- Host: GitHub
- URL: https://github.com/gregordecillia/pipedream
- Owner: GregorDeCillia
- Created: 2021-10-31T00:10:11.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-03-11T11:31:12.000Z (over 3 years ago)
- Last Synced: 2025-03-23T21:12:55.755Z (7 months ago)
- Topics: api-rest, ci, database, datatables, datavis, highcharts, pipeline, shiny-r
- Language: HTML
- Homepage: https://gregordecillia.github.io/pipedream/
- Size: 16.1 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# uRos2021 slides: Pipeline 
Source codes for the slides of the presentation "*Building a Content Delivery Pipeline for a Website in R*" from the [uRos2021 conference](http://r-project.ro/conference2021.html).
## 🔗 Links
* Watch this presentaion on youtube via https://youtu.be/kjUtApjK6XE?t=215
* View the slides at https://gregordecillia.github.io/pipedream
* pdf slides: https://gregordecillia.github.io/pipedream/pdf/presentation.pdf
## 🔨 Tools
* Slides: [reveal.js](https://revealjs.com/)
* Graphs: [highcharts.js](https://www.highcharts.com/)
* Tables: [datatables.js](https://datatables.net/)
## 📷 Sources
* Background Images from https://www.pexels.com
* Individual pictures:
🥧 [pipe](https://www.pexels.com/photo/7417579),
💧 [droplets](https://www.pexels.com/photo/268854),
🌧️ [cloud](https://www.pexels.com/photo/45848),
⛵ [boat](https://www.pexels.com/photo/4203587),
✋ [hand](https://www.pexels.com/photo/2837863).
* Converted with the [imgix rendering API](https://docs.imgix.com/apis/rendering)
* Data for [tables/dt_example.js](tables/dt_example.js) was taken from [this example](https://datatables.net/examples/data_sources/js_array.html)
* Icon was downloaded from [icons8.com/water-pipe](https://icons8.com/icon/66227/water-pipe/)
* Flags are provided by the [flagcdn](https://flagpedia.net/download/api) REST API
## 📦 Recommended R packages
If you want to adapt a similar project, we highly recommend the usage of [shiny](https://shiny.rstudio.com/), [plumber](https://www.rplumber.io/) and [httr](https://httr.r-lib.org/). More opinionated suggestions are [highcharter](https://jkunst.com/highcharter/) and [STATcubeR](statistikat.github.io/STATcubeR)
## 🤔 Do you want to know more?
Get into contact with the methodology department via methodik@statistik.gv.at.