{shinytest2}

Barret Schloerke

Summary:

Manually testing Shiny applications is often laborious, inconsistent, and doesn’t scale well. Whether you are developing new features, fixing bug(s), or simply …

The Future of missing data

Nicholas Tierney

Summary:

If you do data analysis, you encounter missing data. Missing data upsets data analysis workflow because you have to make decisions on how to deal with it - do …

Comparing package versions with Diffify

Colin Gillespie

Summary:

Even when we run the simplest of R scripts, we are using dozens of R packages. We use packages for data cleaning, writing reports, graphics and modelling. One …

Exploratory Spatial Data Analysis in the tidyverse

Josiah Parry

Summary:

R has come quite a long way to enable spatial analysis over the past few years. Packages such as sf have made spatial analysis and mapping easier for many. …

Making awesome automations with GitHub Actions

Beatriz Milz

Summary:

This talk is an introduction to GitHub Actions (GHA), which is a feature from GitHub that allows us to automate several tasks in R. In this presentation, I aim …

Demystifying MLOps

Isabel Zimmerman

Summary:

Data scientists have an intuition of what goes into training a machine learning model, but building an MLOps strategy to deploy that model can sound daunting …

R Shiny - From Conception to the Cloud

Ivonne Carrillo Dominguez

Summary:

I will share how we published an R Shiny application to AWS, the decisions we made, and what we learned in the process.

One challenge we faced was figuring out …

Implications of R syntax in intro stats

Amelia McNamara

Summary:

This talk reports on a head-to-head comparison of the formula and tidyverse syntaxes in a full semester introductory statistics course, providing data to help …

Zero-setup R workshops with GitHub Codespaces

David Smith

Summary:

If you've ever tried to run a workshop using R, you'll be aware of the challenges of getting everyone's laptop set up to able to run your R scripts, Rmarkdown …

Remote Content Execution with RStudio Connect and Kubernetes

Kelly O'Briant

Summary:

This summer the RStudio Connect team will announce a feature which has been over two years in the making: “Remote” off-host content execution with launcher in …

Say Hello! to Multilingual Shiny Apps

Nicola Rennie

Summary:

Multilingual shiny apps are not straightforward to build. Translation affects almost every single aspect of an app. Although there are a few packages designed …

{shinyslack}

Jon Harmon

Summary:

Slack is a useful communication tool for communities and businesses. Integrating it with Shiny can make it even more useful. I'll show how my {shinyslack} …

censored - Survival Analysis in tidymodels

Hannah Frick

Summary:

tidymodels is extending support for survival analysis and censored is a new parsnip extension package for survival models. It offers various types of models: …

Robust R Deployments

David Maguire

Summary:

R is often maligned as a poor fit for production deployment systems. At dv01 we deploy Plumber API that serves machine learning models to Tape Cracker, a client …

Accelerating geospatial computing using Apache Arrow

Dewey Dunnington

Summary:

The ‘arrow’ R package and wider Apache Arrow ecosystem provide an end-to- end solution for querying and computing on in-memory and bigger-than-memory data sets …

Visualizing distributions and uncertainty using ggdist

Matthew Kay

Summary:

I propose a talk on visualizing distributions and uncertainty using {ggdist}. I will describe how to think systematically about distributional visualization as …

Introducing workboots

Mark Rieke

Summary:

Sometimes, we want a model that generates a range of possible outcomes around each prediction. Other times, we just care about point predictions and may opt to …

Publishing Customer Facing Products with RStudio Connect

Benjamin Braun

Summary:

Benjy Braun, Chief Architect for 202 Group, shows why he and the 202 Group team decided to use RStudio Connect to build customer facing applications and secure …

Dissecting the quick fix

Sigrid Keydana

Summary:

Machine learning models, applied in the real world, can have unanticipated, harmful side effects. Recommended counter-measures include structured documentation …

A new way to build your Shiny app's UI

Nick Strayer

Summary:

Shiny helps data scientists create web applications without requiring web development experience. However, there's still a steep learning curve for writing the …

Designing for people is hard

Greg Swinehart

Summary:

Shiny users can prototype an app in minutes, but... What if it also looked better almost immediately? In this talk, we'll walk through a new look for Shiny's …

A Robust Framework for Automated Shiny App Testing

Sydeaka Watson

Summary:

For production-grade Shiny applications, regression testing ensures that the application maintains its core functionality as new features are added to the app. …

Introducing Rhino

Kamil Zyla

Summary:

R and Shiny are ready for production use in Enterprise. As Appsilon, we have worked with tens of top global companies on their Shiny projects. Emphasis on UI, …

Dashboard-Builder

Peter Gandenberger

Summary:

I would like to create (more) Shiny Dashboards, but...

• I don't know how
• I can't write R code
• it's too complex
• I don't have enough time (even though I know how …

tidyclust - expanding tidymodels to clustering

Emil Hvitfeldt

Summary:

This talk marks the grand introduction of tidyclust, a new package that provides a tidy unified interface to clustering model within the tidymodels framework. …

leafdown: Interactive multi-layer maps in Shiny apps

Andreas Hofheinz

Summary:

Interactive maps are indispensable tools for exploring spatial datasets because of their real-world context and intuitiveness. For a comprehensive understanding …

Let's start at the beginning - bits to character encoding in R

Alex Farach

Summary:

Attendees will recieve a broad overview of the encoding and decoding process in the human-to-computer loop, how bits are used, and the math that gets us to …

Creating a Design System for Shiny and RMarkdown

Maya Gans

Summary:

A design system is a set of standards to manage design at scale by reducing redundancy while creating a shared language and visual consistency across different …

It's about time

Davis Vaughan

Summary:

Dealing with date-times is hard. Dealing with date-times without the proper tooling is even harder! clock is an R package that aims to provide comprehensive and …

The tidysynthesis R package

Aaron R. Williams

Summary:

Society benefits when leaders make more evidence-based decisions, but growing privacy concerns hamper researchers’ ability to understand and improve the world. …

Let your mobile shine: Making shiny apps mobile responsive

Shelmith Nyagathiri Kariuki

Summary:

As shiny developers, we spend a lot of time working on the server side, and less time on the UI/UX part. According to the Engineering Production-Grade Shiny …

WebR: R running in the browser

George Stagg

Summary:

In this talk I introduce webR, a port of R to WebAssembly using Emscripten. WebR brings a full R environment to the browser, enabling R code execution, …

Building a ggplot2 rollercoaster

Tyler Morgan-Wall

Summary:

Have you ever had so much fun building a data visualization that it felt like a thrill ride? What if your dataviz actually WAS a thrill ride—a 3D virtual …

Packages and Process

Ellis Hughes

Summary:

Data Scientists have a unique position to drive change and efficiency within organizations workflows. By simplifying workflows to its core expectations, we can …

Everything I learned about community building from growing up in a restaurant

Rachael Dempsey

Summary:

In community conversations at the Data Science Hangout, we’ve talked about misalignment between what recruiters are looking for and who is actually a great fit …

Enterprise-Level Data Science Success

Prabhakar Thanikasalam

Summary:

Enterprise-Level Data Science Success includes many factors beyond the nuts and bolts of core data science work. It is not just about data, databases, data …

We R KaggleRs - At the Intersection of Data Science Communities

Martin Henze

Summary:

In this presentation, I will share my experiences at the intersection of the R and Kaggle communities. As Kaggle's first Notebooks Grandmaster, I will talk …

Dive Deep into Metadata with Tplyr

Mike Stackhouse

Summary:

Back in 2020, Atorus first released our package Tplyr. The aim of Tplyr was to build a reusable framework that makes all the data preparation for clinical …

An Integrated Workflow

Lawrence Y. Tello

Summary:

The California Department of Public Health’s (CDPH) COVID-19 response has required processing and communicating large amounts of data with quick turnaround …

Scaling and automating R workflows with Kubernetes and Airflow

Isaac Florence

Summary:

During the pandemic, epidemiologists have been forced to adapt to the unprecedented scale of the data and high cadence of reporting.

At the UK Health Security …

WTF AITA: What they forgot to teach you about industry transitions from academia

Travis Gerke

Summary:

This talk presents a gathering of resources from the RStudio community for industry job-seekers who are transitioning from academia. Examples include packages …

Becoming Creative: Quilting with R

Alice Walsh

Summary:

When someone asks about essential skills for data careers, I often hear responses like R, Python, and machine learning. However, I argue that creativity is an …

Building Accessible Lessons with R and Friends

Zhian N. Kamvar

Summary:

The Carpentries is a global community of volunteers who collaboratively develop and deliver lessons to build capacity in data and coding skills to researchers …

Cross-Industry Anomaly Detection Solutions with R and Shiny

Tanya Cashorali

Summary:

This session highlights two anomaly detection use cases in production: identification of problematic life sciences manufacturing units and identification of …

The Benefit of Talking to the "Non-Datas"

Caro Buck

Summary:

Data literacy is a tool to build understanding- of the world and ourselves. Data, AI and tech are sometimes portrayed as scary and unknowable; however, data can …

What they forgot to teach you about becoming an open source contributor

Nic Crane

Summary:

Getting involved in open source is an amazing learning experience and helps you grow your skills as a developer, but to a new contributor there are so many …

A Journey to Data Science

Ileana Fenwick

Summary:

Data suggests that less than 3% of data scientists are women of color. My journey and that of many other women who fall at the intersection of being …

How to be a pollinatoR

Weihuang Wong

Kiegan Rice

Summary:

R users are part of data ecosystems comprising both statistical and non- statistical applications. We may work with SAS or Stata datafiles; non-R users may help …

What they forgot to teach you about starting a business with R

David Keyes

Summary:

Lots of people I meet want to start their own business. "I know how to use R," they figure, "so I should be able to go out on my own, find …

R Package Assessment

Becca Krouse

Summary:

As R users, we make choices daily about what packages to use in our work. After discovering a package that may suit our needs, we consider its qualities and …

How Anchorage Built Alaska’s Vaccine Finder with R

Ben Matheson

Summary:

In January 2021, Alaska residents seeking a COVID-19 vaccine appointment faced a convoluted maze of websites. The software was made for providers—not for …

Optimal allocation of COVID-19 vaccines in west Africa

Anubhuti Mishra

Summary:

In 2022, African countries need to vaccinate most of their population against COVID-19. With an influx of millions of doses, countries need to plan in near …

The Polygons of Another World - realtime interactive rendering in R

Mike Cheng

Summary:

In this talk I want to explore R's capabilities for fast, interactive graphical applications. This exploration is driven by my ongoing port of the 1991 action …