A lighterweight alternative to renv is to use Posit Public Package Manage (https://packagemanager.posit.co/) with a pinned date. That doesn't help if you're installing packages from a mix of places, but if you're only using CRAN packages it lets you get everything as of a fixed date. And of course on the web side you have shiny (https://shiny.posit.co), which now also comes in a python flavour. - Source: Hacker News / about 2 months ago
Sometimes the war is lost even before the battle begins. During grad school, I wrote a whole bunch of web apps entirely in R using Shiny. It was clunky as hell, but yeah, it worked. I went looking for what's up with Shiny these days and found this - https://shiny.posit.co/ So yeah, full on pivot into python. Pip install shiny. Alright! "No web development skills required. Develop web apps entirely in R I mean... - Source: Hacker News / 9 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
We work along side bio-statisticians and data analysts, from my experience in this world I recommend to build some plots/graphs in R based on some information you find appealing. After you have some work to show off to potential employers , learn Shiny and publish those graphs online as your portfolio. Source: about 1 year ago
One of the most difficult yet most fun projects I’ve done. Using Shiny to make an app, all coded in R! Source: about 1 year ago
R Shiny has worked well for me. Admittedly, the R language itself is a bit more obscure, but there is a Python version in Alpha. Source: over 1 year ago
Shiny might be what you're looking for. Source: over 1 year ago
When I'm not in the gym, I work as a scientist (not a smart one lol, just a diligent one). One thing I'm really passionate about though is the clear, honest and beautiful representation of data - so that findings have traction. Not to toot my own horn, but I'm bloody good at it already, and am looking for ways to improve further. One way might be by coding a web app (e.g., https://shiny.rstudio.com/). I'm about to... Source: over 1 year ago
I don't know where that idea comes from, but R (like Julia) is a "full-fledged" programming languages by any stretch of the definition. Even if we leave aside the things R is great (arguably, the best) at (i.e. Data wrangling, plotting, statistical modeling, and scientific/technical publishing), you can do anything you want with R. Be it building dashboards or back-ends, MLOps, or even creating games. Granted,... Source: over 1 year ago
Built with Process Analytics components, it is a shiny R application that generates a process from event logs (in XES format), using 2 representations that can be used for comparison, with execution data (frequency):. - Source: dev.to / over 1 year ago
For example, you don’t appear to have even googled considering one of the top hits for “shiny” is the shiny website, which is full of documentation, tutorials, and a gallery of examples. Source: almost 2 years ago
I think normally it's the data scientists with graphs in Shiny. Source: almost 2 years ago
From a more practical standpoint, it might be possible to do some kind of network thing where folks could pick a song and explore other songs that are highly related. Oooh or even a map where people could "tour" the USA and see songbooks from different areas. I'm not supe familiar with JSON, but if the data's structured in a reasonable way, it might be possible to make a Shinyapp that users could interact with. Source: almost 2 years ago
If you know R, couldn’t that be achieved with Shiny? https://shiny.rstudio.com/. Source: almost 2 years ago
Have you considered using R? It has probably the best C++ interop of any language with Rcpp, and you can make really cool visualizations and apps with shiny, https://shiny.rstudio.com/. Source: about 2 years ago
Nice to see an R Shiny app make it to the front page! https://shiny.rstudio.com/. - Source: Hacker News / about 2 years ago
In case anyone was confused like me about what Shiny is: “ Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.” [0] [0] https://shiny.rstudio.com/. - Source: Hacker News / about 2 years ago
This would be a fairly simple Shiny app to build. Your best bet to start is with the Shiny documentation here, particularly the get started and gallery sections. You could try the book Mastering Shiny but that’s probably overkill for such a simple app. Source: about 2 years ago
Generally a lot of the end user of these programs aren't supper great at getting them to run, so an easy way to get your algorithms into the hands of users is very helpful. R has a pretty good "share my stuff on the web" story with "R shiny" web application server that's quite popular with our data scientists. And desktop applications for things that require files too big for easy web use is helpful too.... - Source: Hacker News / over 2 years ago
But you might consider Shiny, which doesn't get recommended a lot, but is a very flexible interactive data visualization tool. You have to be willing to R, though. Source: over 2 years ago
You can also use the bpmnVisualization package in a Shiny app. - Source: dev.to / over 2 years ago
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