Rstudio::conf 2019
Shiny in production: Principles, practices, and tools
January 28, 2019
Shiny is a web framework for R. As such, Shiny has always faced questions about whether it can or should be used “in production" we will answer these questions in this talk.
Working with names and expressions in your tidy eval code
January 25, 2019
在实践中主要有两种口味的整洁的伊娃l functions: functions that select columns, such as `dplyr::select()`, and functions that operate on columns, such as `dplyr::mutate()`.
Why TensorFlow eager execution matters
January 25, 2019
In current deep learning with Keras and TensorFlow, when you've mastered the basics and are ready to dive into more involved applications (such as generative networks, sequence-to-sequence or...
Visualizing uncertainty with hypothetical outcomes plots
January 25, 2019
Uncertainty is a key component of statistical inference. However, uncertainty is not easy to convey effectively in data visualizations. For example, viewers have a tendency to...
vctrs: Tools for making size and type consistent functions
January 25, 2019
vctrs is a new package that provides tools (cognitive and computational) to ensure that functions behave consistently with respect to inputs of varying length and type. The end goal of vctrs is...
Using R, the Tidyverse, H2O, and Shiny to reduce employee attrition
January 25, 2019
An organization that loses 200 high-performing employees per year has a lost productivity cost of about $15M/year. This cost is massive, yet many organizations don’t know it exists.
The unreasonable effectiveness of public work
January 25, 2019
In this talk, I'll lay out the reasons that blogging, open source contribution, and other forms of public work are a critical part of a data science career.
The resilient R champion
January 25, 2019
Merriam-Webster defines resilience as the ability to recover from or adjust easily to misfortune or change. As a Customer Success Representative who works alongside data scientists using RStudio’s...
The next million R users
January 25, 2019
Many students believe that R is obscure, complex, and difficult to write. However, data from a new large-scale survey of R users conducted by RStudio shows that new R users are taking...
懒惰的和容易分心报告作家:强g rmarkdown and parameterised reports
January 25, 2019
My brain is lazy, shallow and easily distracted. Learn how I use notebooks to keep my present-self organised, my future-self up to speed with what I was thinking months ago, and also how I use...
The Future's Shiny: Dashboards for Pioneering Genomic Medicine in R
January 25, 2019
Shiny’s expanding capabilities are rapidly transforming how it is used in an enterprise. This talk details the creation of a large-scale application, supporting hundreds of concurrent users, making...
Teaching R using inclusive pedagogy: Practices and lessons learned from over 700 Carpentries workshops
January 25, 2019
The Carpentries is an open, global community teaching researchers the skills to turn data into knowledge. Since 2012 we have taught 700+ R workshops & trained 1600+ volunteer instructors.
Teaching data science with puzzles
January 25, 2019
Of the many coding puzzles on the web, few focus on the programming skills needed for handling untidy data. During my summer internship at RStudio, I worked with Jenny Bryan to develop...
Spatial data science in the Tidyverse
January 25, 2019
Package sf (simple feature) and ggplot2::geom_sf have caused a fast uptake of tidy spatial data analysis by data scientists. Important spatial data science challenges are not handled by...
Solving the model representation problem with broom
January 25, 2019
f R对象用于表示模型its are notoriously inconsistent, making data analysis inconvenient and frustrating. The broom package resolves this issue by defining a consistent way to...
Scaling R with Spark
January 25, 2019
This talk introduces new features in sparklyr that enable real-time data processing, brand new modeling extensions and significant performance improvements.
RStudio Job Launcher Changing where we run R stuff
January 25, 2019
RStudio Job Launcher provides the ability to start processes within batch processing systems and container orchestration platforms.
RStudio Connect Past, present, and future
January 25, 2019
RStudio Connect is a publishing platform that helps to operationalize the data science work you're doing. We'll review the current state and unveil some exciting new features.
RStudio Cloud for education
January 25, 2019
RStudio Cloud aims to take the friction out of doing data science with R, allowing students (and instructors) to skip over installation, setup, and IT challenges and go straight to the good stuff.
Reactlog 2.0: Debugging the state of Shiny
January 25, 2019
The revamped reactlog provides an updated visual display to traverse through the reactive behavior within your shiny application. Using live shiny applications, we will use reactlog’s directed...
R4DS online learning community Improvements to self-taught data science & the critical need for diversity, equity, and inclusion
January 25, 2019
The first iteration of the R4DS Online Learning Community was created as an online space for learners and mentors to gather and work through the "R for Data Science" text in a collaborative and...
R qtl2: Rewrite of a very old R package
January 25, 2019
For nearly 20 years, I've been developing, maintaining, and supporting an R package, R/qtl, for mapping quantitative trait loci (genetic loci that contribute to variation in...
R Markdown: The bigger picture
January 25, 2019
Statistics has made science resemble math, so much so that we've begun to conflate p-values with mathematical proofs.
R in production
January 25, 2019
With the increase in people using R for data science comes an associated increase in the number of people and organisations wanting to put models or other analytic code into "production".
R Consortium initiatives in medicine - Joe Rickert
January 25, 2019
R / Pharma and R / Medicine, two new R Consortium sponsored conferences that appeared in 2018, are both grass roots, community-level manifestations of fundamental trends driving the growth of R.
R at the ACLU: Joining tables to to reunite families
January 25, 2019
Last year, over 2500 immigrant children were separated from their family while in government custody. Information about their status is scattered across several government agencies, and throughout...
Putting empathy in action Building a 'community of practice' for analytics in a global corporation
January 25, 2019
The theme of "empathy" will be recurring as he discusses how he worked to create a supportive learning environment focused on helping analysts "kick ass" regardless of their tool set.
pagedown: Creating beautiful PDFs with R Markdown and CSS
January 25, 2019
The traditional way to beautiful PDFs is often through LaTeX or Word, but have you ever thought of printing a web page to PDF? Web technologies (HTML/CSS/JavaScript) are becoming more and more...
Melt the clock Tidy time series analysis
January 25, 2019
Time series can be frustrating to work with, particularly when processing raw data into model-ready data. This work presents two new packages that address a gap in existing methodology for...
Explicit Direct Instruction in Programming Education
January 25, 2019
In education, there is and has always been debate about how to teach. One of these debates centers around the role of the teacher: should their role be minimal, allowing students to find and...
Working with categorical data in R without losing your mind
January 24, 2019
Categorical data, called “factor” data in R, presents unique challenges in data wrangling. R users often look down at tools like Excel for automatically coercing variables to incorrect datatypes, but
Solving R for data science
January 24, 2019
While teaching a course using "R for Data Science", I wrote a complete set of solutions to its exercises and posted them on GitHub. Then other people started finding them. And now I'm here.
Push straight to prod API development with R and Tensorflow at T-Mobile
January 24, 2019
When tasked with creating the first customer-facing machine learning model at T-Mobile, we were faced with a conundrum.
pkgman: A fresh approach to package installation
January 24, 2019
The main goals of pkgman is to make package installation fast and more reliable. This allows new, simpler and safer workflows, such as separate package libraries for projects.
parsnip: A tidy model interface
January 24, 2019
parsnip is a new tidymodels package that generalizes model interfaces across packages. The idea is to have a single function interface for types of specific models (e.g. logistic regression) that...
Panel discussion: Growth and Data Science: Individuals, leaders, organizations and responsibilities
January 24, 2019
Hosted by Eduardo Arino de la Rubia of Instagram. With Hilary Parker, Karthik Ram, Angela Bassa, and Tracy Teal.
Our colour of magic: The open sourcery of fantastic R packages
January 24, 2019
What does it mean to say software is, to quote one Twitter user, ‘so f***ing magical!’? In the context of our popular community hobby of rating and sharing R packages, the term ‘magic’ seems...
New language features in RStudio
January 24, 2019
RStudio 1.2 dramatically improves support for many languages frequently used alongside R in data science projects, including SQL, D3, Stan, and Python. In this talk, you'll learn how to use RStudio...
Learning from eight years of data science mistakes
January 24, 2019
Over the past eight years of doing data science, I’ve made plenty of mistakes, and I’d love to share them with you -- including what I’ve learned and what I’d do differently with some hindsight.
Learning and using the Tidyverse for historical research
January 24, 2019
My talk will discuss how R, the Tidyverse, and the community around R helped me to learn to code and create my first R package. My positive experiences with the resources for learning R and...
Lazy evaluation
January 24, 2019
The "tidy eval" framework is implemented in the rlang package and is rolling out in packages across the Tidyverse and beyond. There is a lively conversation these days, as people come to terms with...
It depends: A dialog about dependencies
January 24, 2019
Software dependencies can often be a double-edged sword. On one hand, they let you take advantage of others' work, giving your software marvelous new features and reducing bugs.
Introductory statistics with R: Easing the transition to software for beginner students
January 24, 2019
In this talk, we will present our approach to incorporating R and RStudio into a 10-week introductory statistics course for non-majors Cal Poly. Our primary contribution will be to...
Introducing the gt package
January 24, 2019
With the gt package, anyone can make great-looking display tables. Though the package is still early in development, you can do some really great things with it right now!
Introducing mlflow
January 24, 2019
We introduce the R API for MLflow, which is an open source platform for managing the machine learning lifecycle. We demonstrate each component of the platform–Tracking, Projects, and...
Integrating React.js and Shiny
January 24, 2019
React.js is a thriving JavaScript library that eases encapsulating and sharing sophisticated component libraries. The React.js ecosystem is filled with components for doing everything from...
Getting it right: Writing reliable and maintainable R code
January 24, 2019
How can you tell that your scripts, applications, and package functions are working as expected? Are you sure that when you make changes in one part of the code, it won't break something in...
Empowering a data team with RStudio addins
January 24, 2019
英格兰vs伊朗让球延长RStud RStudio外接程序提供一个机制io in various ways. Addins can interact with the RStudio IDE through RStudio API. It can also provide users a graphical interface with...
Effective use of Shiny modules in application development
January 24, 2019
As a Shiny application grows in scale, organizing code into reusable and streamlined components becomes vital to manage future enhancements and avoid unnecessary duplication.
Don’t let long running tasks hang your users Introducing ipc for Shiny
January 24, 2019
Long running tasks in Shiny are not cancelable and typically lock the user interface while running. This talk introduces the ipc package, which helps you build dynamic applications when...
Democratizing R with Plumber APIs
January 24, 2019
The Plumber package provides an approachable framework for exposing R functions as HTTP API endpoints. This allows R developers to create code that can be consumed by downstream frameworks, which...
Cultivating creativity in data work
January 24, 2019
Traditionally, statistical training has focused primarily on mathematical derivations, proofs of statistical tests, and the general correctness of what methods to use for certain applications.
Catching the R wave: How R and RStudio are revolutionizing statistics education in community colleges (and beyond)
January 24, 2019
There is no doubt that RStudio has had an impact on how introductory statistics is taught in colleges today. When we consider the sheer dominance that giants like Texas Instruments, IBM, and...
Building an A/B testing analytics system with R and Shiny
January 24, 2019
Online experimentation, or A/B Testing, is the gold standard for measuring the effectiveness of changes to a website. While A/B testing is used at tens of thousands of companies, it can seem...
Announcing RStudio Package Manager
January 24, 2019
RStudio Package Manager is the newest professional product that helps teams, departments, and entire enterprises organize and centralize package management.
A preview of Rtools 4.0
January 24, 2019
Rtools is getting a major upgrade. In addition to the latest gcc, it now includes a full build system and package manager to build, install, and distribute external c/c++/fortran libraries needed...
Databases using R: The latest
January 23, 2019
Learn about the latest packages and techniques that can help you access and analyze data found inside databases using R. Many of the techniques we will cover are based on our personal and the communit
Configuration management tools for the R admin
January 23, 2019
This talk will feature an introduction to configuration management tools for the Analytic Administra
Box plots A case study in debugging and perseverance
January 23, 2019
Come on a journey through pull request #2196. What started as a seemingly simple fix for a bug in ggplot2's box plots developed into an entirely new placement algorithm for ggplot2 geoms.
A guide to modern reproducible data science with R
January 23, 2019
