Shiny apps need more info! - our new shiny.info package - Appsilon Data Sci
shiny.info is an open source package for R Shiny that allows developers to display diagnostic information in a div located in the corner of a Shiny app.
Recommended Packages Many useful R function come in packages, free libraries of code written by R's active user community. To install an R package, open an R session and type at the command line in...
HTTPS to Secure Your RStudio Shiny App Work Environment
HTTPS to Secure Your RStudio + Shiny App Work Environment Click any link in list below to jump to topic Creating a Friendly URL Route 53 to Host Domain and Create Subdomains AWS Certificate Manager for SSL keys AWS Elastic Load Balancers: HTTPS Redirection Installing Nginx & Creating Configuration Files I wanted to create this post as an addition to my previous post Running R on AWS EC2 and Logging into RStudio from Anywhere to show how to secure your AWS environment.
Package management: Using repositories in production systems | R-bloggers
Data science is characterized among other things using open source tools. An advantage when working with open source languages such as R or Python is the large package world. This provides tools for numerous use cases and problems through the development within huge communities. The packages are organized in digital ...
R is a free software environment for statistical computing and graphics, available from The R Project for Statistical Computing. At Indiana University, R is ...
Build the Perfect Productivity System with Paper Notebooks and Digital Tool
Apps aren't everything. Despite the plethora of to-do apps and note-taking apps available, pen and paper can still be a valuable productivity tool. In fact, paper note-taking and task management systems have been experiencing a revival in recent years, as we grapple with technology taking over our lives and...
The Best Productivity Apps of 2019 – Mac, Windows, Web, Android & iOS
It's time to get sh*t done this year. ? Check out Frank's roundup of the best productivity apps of 2021. Up your productivity game with Frank's top picks.
Shiny 1.0.4 is now available on CRAN. To install it, run: install.packages("shiny") For most Shiny users, the most exciting news is that file inputs now support dragging and dropping: It is now possible to add and remove tabs from a tabPanel, with the new functions insertTab(), appendTab(), prependTab(), and removeTab(). It is also possible to hide and show tabs with hideTab() and showTab(). Shiny also has a new a function, onStop(), which registers a callback function that will execute when the application exits.
Top 10 Best Business Productivity Books Ready for 2019 — Keep Productive
Looking for inspiration? Or a methodology to work around? Try these ten best business productivity books ready for your journey in 2019. From Seth Godin to Emma Gannon and plenty more.
Write R code directly on your iPhone, iPad and iPod Touch! This app is ideal for learning and testing code snippets! R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used am…
Bonus Episode: Start Using Your New Planner Now! - Michael and Megan
As a high-performing leader, we know you love using productivity products like the Full Focus Planner™. But any new system can seem overwhelming at first. Honestly, our planner can seem that way at first. With so many features built in, it’s hard to know where to start. You may wonder if you’re actually getting the […]
Building a shiny app with drag and drop data interface
Introduction Data visualization is an important aspect of the data science work flow. This app enables the analyst to understand the data in question. In this post, we will build an application whi…
pins: Pin, Discover and Share Resources | RStudio Blog
Today we are excited to announce the pins package is available on CRAN! pins allows you to pin, discover and share remote resources, locally or in remote storage. If you find yourself using download.file() or asking others to download files before running your R code, use pin() to achieve fast, simple and reliable reproducible research over remote resources. Pins You can use the pins package to: Pin remote resources locally to work offline and cache results with ease, pin() stores resources in boards which you can then retrieve with pin_get().
Super Solutions for Shiny Architecture #5 of 5: Automated Tests - Appsilon
Describes the best practices for setting automated test architecture for R Shiny apps. Automate and test early and often with unit tests, user interface tests, and performance tests.
The Build a Better Workflow Series - Productivityist
In the pursuit of getting more things done, how do you build a productivity system that works for you? These 3 important elements will help you get started.
Productionizing Shiny and Plumber with Pins · R Views
Producing an API that serves model results or a Shiny app that displays the results of an analysis requires a collection of intermediate datasets and model objects, all of which need to be saved. Depending on the project, they might need to be reused in another project later, shared with a colleague, used to shortcut computationally intensive steps, or safely stored for QA and auditing. Some of these should be saved in a data warehouse, data lake, or database, but write access to an appropriate database isn’t always available.