Video
Communicating with 8 Million People through Shiny
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.
Shepherding your Shiny App from Proof of Concept to Production
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.
Improve Your Code - Best Practices for Durable Code
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.
Scaling & Infrastructure - Why is My Shiny App Slow?
August 10, 2021
Pedro Silva will explore scaling and infrastructure issues common when deploying large scale Shiny apps, and how to overcome them.
UI/UX in Shiny Apps and Live Coding Session (shiny.fluent and shiny.react)
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.
Incorporating R into your Clinical Legacy Workflows
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.
Data Science in Production: The Way to a Centralized Infrastructure
June 16, 2021
A joint webinar with eoda and Covestro
Data Science in Production: Der Weg zu einer Zentralisierten Infrastruktur
June 16, 2021
Ein gemeinsames Webinar mit eoda und Covestro
Rethink Reporting with Automation
May 28, 2021
Companies struggle with reporting. Specifically, they’re caught in a cycle of inefficient and error-prone workflows.
Building Effective Data Science Teams
May 13, 2021
Technology on its own is not enough. It is just as critical to focus on the people in your team.
Why Your Enterprise Needs Code-First Data Science
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.
Cómo ixpantia ayudó a Extendo a poner R en producción
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.
Managing Packages for Open Source Data Science
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.
RStudio: A Single Home for R & Python
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.
With more learning occurring virtually or in hybrid mode, hands-on ways to remotely teach DS are invaluable.
January 21, 2021
In order to truly collaborate in multi-disciplinary data-driven teams, one needs to consider how to collaborate beyond R.
Using pins with Python and JavaScript
January 21, 2021
Last year, pins got released as a brand new R package to pin, discover and cache remote resources for R users.
Using formr to create R-powered surveys with individualized feedback
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.
Towards an integrated {verse}: lessons learned developing a library of validated packages
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.
tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling
January 21, 2021
Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the
The Power of Great Datasets
January 21, 2021
There's a big difference between "Okay Datasets" and "Great Datasets".
The Opioid Files: Turning big pharmacy data over to the public
January 21, 2021
Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the
The dynamic duo: SQL & R
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.
Starting an R Book Club: Cooking Up Friendships in Isolation
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.
rKenyaCensus Package
January 21, 2021
The rKenyaCensus package contains the results of the 2109 Kenya Population Census.
Racial Equity Dashboard: Unpacking Systemic Inequity
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.
R & Python: Going Steady
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.
parsermd - parsing R Markdown for fun and profit
January 21, 2021
parsermd is a new R package for parsing and programmatically interacting with R Markdown (Rmd) documents.
On programming, teaching, and building interactive tutorials with learnr
January 21, 2021
Teaching R is part of my activities as a community organizer, an RStudio Certified Instructor, a conference chair, and a researcher.
Making the jump from learning to applying: R training and documentation for different levels of expertise
January 21, 2021
This talk explores what differentiates novice, practitioner, and expert R programmers, and how transitions between these stages occur.
Making Shiny apps faster with caching
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.
Making .pot-ery with R: Translations in R Packages
January 21, 2021
The R community is globally distributed and R itself is available with messages in 14 languages.
Make a package - Make some friends
January 21, 2021
In 2017, I had never exposed my code to anyone other than a select few before, and I was terrified.
Lifelong Learning with R Weekly
January 21, 2021
R Weekly is a weekly newsletter with many great R blogs post, tutorials, and other formats of resources.
Humanitarian Data Science with R
January 21, 2021
Humanitarian actors are increasingly using data to drive their decisions.
How we made the switch: a case study on automating a complex report.
January 21, 2021
The Center for Charter Schools at Central Michigan University produces annual reports for about 60 schools.
How to do things with words: learning to program in R with a "communicative approach"
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.
How reproducible am I? A retrospective on a year of commercial data science projects in R
January 21, 2021
Reproducibility is a critical aspect in science to enable trust & communication.
How I became a Data Composer – examples of simulated datasets that bring value to a data-driven company
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?
How Content Makes the Data Go 'Round
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.
Feedback at scale
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.
Easy larger-than-RAM data manipulation with {disk.frame}
January 21, 2021
Learn how to handle 100GBs of data with ease using {disk.frame} - the larger-than-RAM-data manipulation package.
Designing Randomized Studies using Shiny
January 21, 2021
This talk will walk through building a self-contained randomized study using Shiny and learnr modules.
Custom theming in Shiny & R Markdown with bslib & thematic
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.
Cognitive speed: How the Tidyverse helped the British Red Cross respond quickly to COVID-19
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.
Categorical Embeddings: New Ways to Simplify Complex Data
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.
Bringing the Tidyverse to Python with Siuba
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.
Art Lessons: One Year as RStudio’s Artist-in-Residence
January 21, 2021
Art can be a welcoming bridge for learners and users to engage with and learn tools and skills in R.
An easy and friendly way to build your multilingual website
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.
Always look on the bright side of plots
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.
Aesthetically automated figure production
January 21, 2021
Automation, reproducibility, and data driven are not normally concepts one would associate with the traditional publishing industry.
Your R is My R too: Reflections on creating the Mi-R community
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.
xaringan Playground: Using xaringan to learn web development
January 21, 2021
xaringan is a quirky package that extends R Markdown to create beautiful web-based HTML slides.
You're Already Ready: Zen and the Art of R Package Development
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.
Trial and Error in Data Viz at the ACLU
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.
Reporting on and visualising the pandemic
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.
plumber + future: Async Web APIs
January 21, 2021
plumber is an R package that allows users to create web APIs by decorating R functions using roxygen2-like comments.
Fairness and Data Science: Failures, Factors, and Futures
January 21, 2021
In recent years, numerous highly publicized failures in data science have made evident that biases or issues of fairness in training data can sneak into, and be magnified by, our models, leading to harmful, incorrect predictions being made once the models are deployed into the real world.
Your public garden
January 21, 2021
As people who can write code and analyze data, we have a lot of input and power over what our digital and work worlds looks like, and therefore can act as agents of change and repair.
What's new in tidymodels?
January 21, 2021
tidymodels is a collection of packages for modeling using a tidy interface.
Not The App We Deserve. The App We Need: Putting a GMP Shiny App into Production
January 21, 2021
In February 2020, the Digital Proactive Process Analytics (DPPA) group within Merck’s manufacturing division officially launched a Shiny app to automate the creation of Continuous Process Verification (CPV) reports into production.
Monitoring health and impact of open-source projects
January 21, 2021
At rOpenSci, we have come to realize that in order to help researchers get the most out of R, we need better tooling to monitor the quality, health, and impact of R packages.
Introducing xrprof: A New Way to Profile R
January 21, 2021
Tracking down performance issues in R code usually means using R's built-in Rprof() profiler or one of the packages built around it.
Accessible Data Science Beyond Visual Models: Non-Visual Interactions with R and RStudio Packages
January 21, 2021
Data science is full of vision-dominant practices, and most data scientists rely heavily on visual models.
Using R to Up Your Experimentation Game
January 21, 2021
Have you ever cut an A/B test short? Maybe because of traffic constraints, your antsy boss, or early successful results.
Theming Shiny and RMarkdown with {thematic} & {bslib}
January 21, 2021
This presentation covers the basics of how {bslib} & {thematic} can be used to consistently style all the components of a shiny app at once.
