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…
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.
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().
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.
Best Productivity Apps for 2019: Getting It Done, Fast
When you're working from home, even just on a pet project, staying on task and knowing when to do what can be a real challenge. We've put together some of the very best productivity apps that will help you keep focused and get it done.
Super Solutions for Shiny Architecture 2/5: Javascript Is Your Friend - App
Three methods for using javascript code in Shiny applications to build faster apps, avoid unnecessary re-rendering, and add components beyond Shiny's limits. Part 2 of a 5 part series on super solutions for Shiny architecture.
Forget about Excel, Use these R Shiny Packages Instead - Appsilon Data Scie
Transferring your Excel sheet to a Shiny app is perhaps the easiest way to create an enterprise ready dashboard. Shiny offers a comparable feature set to Excel as well as exciting new possibilities.
RStudio's webinars offer helpful perspective and advice to data scientists, data science leaders, DevOps engineers and IT Admins. Presenters come from companies around the globe, as well as the RStudio staff.
15 new ideas and new tools for R gathered from the RStudio Conference 2019
Below we list the tools and innovations from the RStudio Conference in Austin, Texas that we found the most useful and exciting. As with last year’s conference, the event is well organized an…
Using Shiny with Scheduled and Streaming Data · R Views
Note: This article is now several years old. If you have RStudio Connect, there are more modern ways of updating data in a Shiny app. Shiny applications are often backed by fluid, changing data. Data updates can occur at different time scales: from scheduled daily updates to live streaming data and ad-hoc user inputs. This article describes best practices for handling data updates in Shiny, and discusses deployment strategies for automating data updates.
How to run R scripts from the command line – RStudio Support
Running R scripts from the command line can be a powerful way to: Automate your R scripts Integrate R into production Call R through other tools or systems There are basically two Linux command...
Learn about collection Powerful Apps for Developers featuring Working Copy - Git client, Prompt 2, Sketch Mirror, and many more on App Store. Enjoy these apps on your iPhone, iPad, and iPod touch.
These productivity apps will help you keep track of todos, manage your email, back up your files, and stay organized whether you're working or at home.
Imagine if we had a learning curriculum for modern knowledge work. This curriculum would reliably produce elite performers, training them in the fundamental skills required to thrive in the digital age. It would impart concrete skills that could be generalized to any kind of knowledge work, not just one discipline or career path. In our ... Read more
By Tasshin Fogleman and James Stuber Introducing the Digital Productivity Coach – an interactive guide to digital productivity, available 24/7 to give you a concrete next step to improve your productivity skills. If you’re interested in improving your productivity, it’s not easy to identify where to start. There are dozens of tools and systems out ... Read more