February 10, 2022
RStudio Workbench is the enterprise-level integrated development environment for data scientists who need to develop, collaborate, and scale in R and Python. Team members work from a centralized server in the language of their choice and with the computing power that they need.
February 10, 2022
RStudio Connect is a standalone publishing platform for the work your teams create in R and Python. Give your data scientists one convenient place to share Shiny applications, R Markdown reports, dashboards, plots, models, APIs, Jupyter Notebooks, interactive Python content, and more.
February 10, 2022
Update, Deploy, Authenticate and Share Insights
February 10, 2022
LIVE Demo + Q&A with Enterprise Data Science Expert
November 17, 2021
A Joint Webinar with Solita, an RStudio Full Service Partner
October 7, 2021
LIVE Demo + Q&A with Enterprise Data Science Expert
September 14, 2021
Georgia Institute of Technology faculty, scientists, GIS specialists, and graduate students launched a tool that provided real-time, localized information on the estimated risk of COVID-19 exposure by attending an event.
August 10, 2021
Marcin Dubel will present Appsilon's preferred workflow for creating production quality Shiny apps. He'll touch on key topics in the app development process that lead to apps which users enjoy and developers find easy to maintain and extend.
August 10, 2021
Anna Skrzydło discusses code maintenance, and the strategies you can employ to create enduring code. Avoid future delays and growing pains for your Shiny app by using better coding practices.
August 10, 2021
Pedro Silva will explore scaling and infrastructure issues common when deploying large scale Shiny apps, and how to overcome them.
August 10, 2021
Kamil Żyła will demonstrate how to use shiny.fluent to build beautiful Shiny apps with Microsoft’s Fluent UI, and explain how to integrate React and Shiny.
June 22, 2021
Many programmers in the life sciences and pharma industries have spent their careers using a single programming language, and adopting a new language can be quite challenging.
June 16, 2021
A joint webinar with eoda and Covestro
June 16, 2021
Ein gemeinsames Webinar mit eoda und Covestro
May 28, 2021
Companies struggle with reporting. Specifically, they’re caught in a cycle of inefficient and error-prone workflows.
May 13, 2021
Technology on its own is not enough. It is just as critical to focus on the people in your team.
April 27, 2021
A modern enterprise needs code-first data science. Navigating this landscape, and convincing others in your organization of the value of open source data science, can be challenging.
April 21, 2021
Extendo, que opera como MiWeb en Norteamérica, es una empresa de marketing que se especializa en estrategias de marketing digital basadas en datos.
February 17, 2021
With over 15,000 R packages on CRAN, over 230,000 on PyPI, and more arriving every day, the task of managing a package environment for data science in R and Python can be daunting.
February 3, 2021
Many Data Science teams today are bilingual, leveraging both R and Python in their work. While both languages are tremendously powerful, teams frequently struggle to use them together.
January 21, 2021
In order to truly collaborate in multi-disciplinary data-driven teams, one needs to consider how to collaborate beyond R.
January 21, 2021
Last year, pins got released as a brand new R package to pin, discover and cache remote resources for R users.
January 21, 2021
Using R and RMarkdown code, researchers and teachers can use the formr platform to generate both simple surveys and complex studies with individualized feedback.
January 21, 2021
Developing R packages as a unified {verse} – a set of packages that work well together but with each focusing on individual tasks – is an efficient strategy to structure support for complex workflows.
January 21, 2021
Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the
January 21, 2021
There's a big difference between "Okay Datasets" and "Great Datasets".
January 21, 2021
Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the
January 21, 2021
There's a point in every data wranglers' career in which their full dataset can no longer fit into just CSV files, and the journey to database-world begins.
January 21, 2021
Amidst a global pandemic there’s been one consistency in my life: every Tuesday a group of friends meet to discuss Hadley Wickham’s Advanced R.
January 21, 2021
The rKenyaCensus package contains the results of the 2109 Kenya Population Census.
January 21, 2021
At Cape Fear Collective, we’re redefining what a town square looks like in our community, serving as a place where all people, organizations, and ideas can come together to effect real, lasting, and systemic change.
January 21, 2021
While there has been a lot of excitement about the R and Python love story, there are still misconceptions that individuals, teams, or organizations must pick between R or Python.
January 21, 2021
parsermd is a new R package for parsing and programmatically interacting with R Markdown (Rmd) documents.
January 21, 2021
Teaching R is part of my activities as a community organizer, an RStudio Certified Instructor, a conference chair, and a researcher.
January 21, 2021
This talk explores what differentiates novice, practitioner, and expert R programmers, and how transitions between these stages occur.
January 21, 2021
Shiny's 1.6 has a new function, bindCache(), which makes it easy to dramatically speed up reactive expressions and output rendering functions.
January 21, 2021
The R community is globally distributed and R itself is available with messages in 14 languages.
January 21, 2021
In 2017, I had never exposed my code to anyone other than a select few before, and I was terrified.
January 21, 2021
R Weekly is a weekly newsletter with many great R blogs post, tutorials, and other formats of resources.
January 21, 2021
Humanitarian actors are increasingly using data to drive their decisions.
January 21, 2021
The Center for Charter Schools at Central Michigan University produces annual reports for about 60 schools.
January 21, 2021
Textbooks for learning a new language always start the same: you learn to say hello, to introduce yourself, and some simple and useful sentences to communicate with others.
January 21, 2021
Reproducibility is a critical aspect in science to enable trust & communication.
January 21, 2021
How can I get the buy-in from business partners to use more advanced techniques? What can I do to make a data project involving several teams more efficient? And how can I train analysts who do not (yet) have access to sensitive data?
January 21, 2021
What makes a successful data science community thrive across industries? A recent Aflac WorkForces Report showed that professionals who are engaged in a community within their industry are 70% more likely to be satisfied with their work.
January 21, 2021
As enrollments in statistics and data science courses grow and as these courses become more computational, educators are faced with an interesting challenge -- providing timely and meaningful feedback, particularly with online delivery of courses.
January 21, 2021
Learn how to handle 100GBs of data with ease using {disk.frame} - the larger-than-RAM-data manipulation package.
January 21, 2021
This talk will walk through building a self-contained randomized study using Shiny and learnr modules.
January 21, 2021
Custom theming in Shiny and R Markdown often requires writing styling rules in both CSS and R. In particular, styles for HTML content (e.g., actionButton(), tabsetPanel(), titlePanel(), etc) derive from Bootstrap CSS, so customization is traditionally done by overwriting that CSS, which is difficult to do 100% correctly.
January 21, 2021
We will discuss the importance of cognitive speed, defined here as the rate in which an idea can be translated into code, and why the Tidyverse excels in this domain.
January 21, 2021
Categorical embeddings are a relative new method, utilizing methods popularized in Natural Language Processing that help models solve this problem and can help you understand more about the categories themselves.
January 21, 2021
Last January I left my job to spend a year developing siuba, a python port of dplyr. At its core, this decision was driven by a decade of watching python and R users produce similar analyses, but in very different ways.
January 21, 2021
Art can be a welcoming bridge for learners and users to engage with and learn tools and skills in R.
January 21, 2021
Having a personal website is a great way to share our experiences with other people, that also allows us to improve our communication skills and expand our networking groups.
January 21, 2021
Everyone who creates visualizations in R is bound to make mistakes that prevent their plots from looking as they should. Sometimes, these mistakes create beautiful "accidental aRt", though other times they're just plain frustrating.
January 21, 2021
Automation, reproducibility, and data driven are not normally concepts one would associate with the traditional publishing industry.
January 21, 2021
There are still members of the R community that have expressed desires for a more inclusive space in addition to these strides.
January 21, 2021
xaringan is a quirky package that extends R Markdown to create beautiful web-based HTML slides.
January 21, 2021
R packages make it easier to write robust, reproducible code, and modern tools in R development like usethis make it easy to work with packages.
January 21, 2021
Visualizing data the “right” way requires many considerations — the topic, the quality of your data, your audience, your time frame, and the various channels of (sometimes conflicting) feedback you received.
January 21, 2021
John will discuss the lessons he's learned reporting on and visualising the pandemic, including the world of difference between making charts for a technical audience and making charts for a mass audience.
January 21, 2021
plumber is an R package that allows users to create web APIs by decorating R functions using roxygen2-like comments.
January 21, 2021
In recent years, numerous highly publicized failures in data science have made evident that biases or issues of fairness i