Tidyverse

R Not Only In Production - posit::conf(2023)

Presented by Kara Woo I will share what our team has learned from successfully integrating R in all areas of our company’s operations. InsightRX is a precision medicine company whose goal is to ensure that each patient receives the right drug at the optimal dose. At InsightRX, R is a first-class language that’s used for purposes ranging from customer-facing products to internal data infrastructure, new product prototypes, and regulatory reporting. Using R in this way has given us the opportunity to forge fruitful collaborations with other teams in which we can both learn and teach. Join me as I share how the skills of data science and engineering can complement each other to create better products and greater impact. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: R Not Only In Production. Session Code: KEY-1108

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Quickly get your Quarto HTML theme in order - posit::conf(2023)

Presented by Greg Swinehart A 5-minute talk to discuss how I’ve used Quarto and Bootstrap variables to quickly make Shiny’s new website look as it should. The Quarto user I have in mind works at an organization with specific brand guidelines to follow. I‚ will discuss how to set up your theme, show some key Quarto settings, and how Bootstrap‚ Sass variables are your best friend. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Lightning talks. Session Code: TALK-1170

Greg Swinehart

Quarto Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Parameterized Quarto Reports Improve Understanding of Soil Health - posit::conf(2023)

Presented by Jadey Ryan Learn how to use R and Quarto parameterized reporting in this four-step workflow to automate custom HTML and Word reports that are thoughtfully designed for audience interpretation and accessibility. Soil health data are notoriously challenging to tidy and effectively communicate to farmers. We used functional programming with the tidyverse to reproducibly streamline data cleaning and summarization. To improve project outreach, we developed a Quarto project to dynamically create interactive HTML reports and printable PDFs. Custom to every farmer, reports include project goals, measured parameter descriptions, summary statistics, maps, tables, and graphs. Our case study presents a workflow for data preparation and parameterized reporting, with best practices for effective data visualization, interpretation, and accessibility. Talk materials: https://jadeyryan.com/talks/2023-09-25_posit_parameterized-quarto/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Elevating your reports. Session Code: TALK-1160

Quarto tidyverse Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Package Management for Data Scientists - posit::conf(2023)

Presented by Tyler Finethy In my talk, “Package Management for Data Scientists,” we will discuss software dependencies for R and Python and the common issues faced during package installations. I will begin with an overview of package management, highlighting its crucial role in data science. We’ll then focus on practical strategies to prevent dependency errors and address effective troubleshooting when these problems occur. Lastly, we will look towards the future, discussing potential package management improvements, focusing on reproducibility and accessibility for those new to the field. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Managing packages. Session Code: TALK-1081

Programming Python Databricks Data Science Rstudio Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Open Source Solutions to Next-Generation Submissions, After 30 Years of Industry Experience

Presented by Mike K Smith The pharmaceutical industry is undergoing rapid change, driven by a desire from both industry and regulatory agencies to move to more interactive visualizations and web applications to review data and make decisions. These changes would have been unthinkable 30 years ago when I started working at Pfizer. In this talk, I’ll consider the drivers for these changes, how open-source tools can help achieve this, and why collaboration across the industry is vital to achieving this goal. I’ll contrast this with my experience of 30 years working in the pharma industry - when the R language had only just been released, when the internet was new, and when submissions to agencies were printed out, loaded onto trucks, and shipped to their doors. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Pharma. Session Code: TALK-1067

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Open Source Property Assessment: Tidymodels to Allocate $16B in Property Taxes - posit::conf(2023)

Presented by Nicole Jardine and Dan Snow How the Cook County Assessor’s Office uses R and tidymodels for its residential property valuation models. The Cook County Assessor’s Office (CCAO) determines the current market value of properties for the purpose of property taxation. Since 2020, the CCAO has used R, tidymodels, and LightGBM to build predictive models that value Cook County’s 1.5 million residential properties, which are collectively worth over $400B. These predictive models are open-source, easily replicable, and have significantly improved valuation accuracy and equity over time. Join CCAO Chief Data Officer Nicole Jardine and Director of Data Science Dan Snow as they walk through the CCAO’s modeling process, shares lessons learned, and offer a sneak peek at changes planned for the 2024 reassessment of Chicago. Materials: https://github.com/ccao-data Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: End-to-end data science with real-world impact. Session Code: TALK-1147

tidymodels AI .Odelling Modelling Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Oops I’m a Manager - On More Effective 1-on-1 Meetings - posit::conf(2023)

Presented by Andrew Holz As a team leader (accidental or not), it’s easy to get caught up in the daily grind and overlook the importance of 1-on-1s. Bad idea. 1-on-1s are critical for building trust, providing feedback, and ensuring that everyone is on the same page. Keys to good 1-on-1s start with a small amount of prep and a running shared document of notes and takeaways. Another key is to rotate types of 1-on-1s. Possibilities include “heads down” on recent work, “heads up” looking further out, and career-focused sessions. After some tips on the right sort of questions and uncovering sneaky issues, I will also touch on effective feedback. I will share resources and hope to include Seussian visuals and a few poetic lines to help the key points stick. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Building effective data science teams. Session Code: TALK-1064

Andrew Holz

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)

Presented by Carlos Scheidegger Quarto 1.4 will introduce support for Typst. Typst is a brand-new open-source typesetting system built from scratch to support the lessons we have learned over almost half a century of high-quality computer typesetting that TeX and LaTeX have enabled. If you’ve ever had to produce a PDF with Quarto and got stuck handling an inscrutable error message from LaTeX, or wanted to create a new template but were too intimated by LaTeX’s arcane syntax, this talk is for you. I’ll show you why we need an alternative for TeX and LaTeX, and why it will make Quarto even better. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Quarto (2). Session Code: TALK-1142

Carlos Scheidegger

Quarto Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Motley Crews: Collaborating with Quarto - posit::conf(2023)

Presented by Susan McMillan, Wyl Schuth, and Michael Zenz Adoption of Quarto for document creation has transformed the collaborative workflow for our small higher-education analytics team. Historically, content experts wrote in Word documents and data analysts used R for statistics and graphics. Specialization in different software tools created challenges for producing collaborative analytic reports, but Quarto has solved this problem. We will describe how we use Quarto for writing and editing text, embedding statistical analysis and graphics, and producing reports with a standard style in multiple formats, including web pages. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Elevating your reports. Session Code: TALK-1157

Quarto Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Matching Tools to Titans: Tailoring Posit Workbench for Every Cloud - posit::conf(2023)

Presented by James Blair In an era of diverse cloud platforms, leveraging tools effectively is paramount. This talk highlights the adaptability of Posit Workbench within leading cloud platforms. Delve into strategic integrations, understand key challenges, and uncover practical solutions. By the end, attendees will be equipped with insights to harness Posit Workbench’s capabilities seamlessly across varied cloud environments. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science infrastructure for your org. Session Code: TALK-1115

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Making a (Python) Web App is easy! - posit::conf(2023)

Presented by Marcos Huerta Making Python Web apps using Dash, Streamlit, and Shiny for Python This talk describes how to make distribution-free prediction intervals for regression models via the tidymodels framework. By creating and deploying an interactive web application you can better share your data, code, and ideas easily with a broad audience. I plan to talk about several Python web application frameworks, and how you can use them to turn a class, function, or data set visualization into an interactive web page to share with the world. I plan to discuss building simple web applications with Plotly Dash, Streamlit, and Shiny for Python. Materials: Comprehensive talk notes here: https://marcoshuerta.com/posts/positconf2023/ https://www.tidymodels.org/learn/models/conformal-regression/ https://probably.tidymodels.org/reference/index.html#regression-predictions Corrections: In my live remarks, I said a Dash callback can have only one output: that is not correct, a Dash callback can update multiple outputs. I was trying to say that a Dash output can only be updated by one callback, but even that is no longer true as of Dash 2.9. https://dash.plotly.com/duplicate-callback-outputs"" Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: The future is Shiny. Session Code: TALK-1086

Shiny for Python Shiny tidymodels Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Magic with WebAssembly and webR - posit::conf(2023)

Presented by George Stagg Earlier this year the initial version of webR was released and users have begun building new interactive experiences with R on the web. In this talk, I’ll discuss webR’s TypeScript library and what it is able to do. The library allows users to interact with the R environment directly from JavaScript, which enables manipulation tricks that seem like magic. I’ll begin by describing how to move objects from R to JS and back again, and discuss the technology that makes this possible. I’ll continue with more advanced manipulation, such as invoking R functions from JS and talk about why you might want to do so. Finally, I’ll describe how messages are sent over webR’s communication channel and explain how this enables webR to work with Shinylive. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: I can’t believe it’s not magic: new tools for data science. Session Code: TALK-1152

George Stagg

shinylive Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Large Language Models in RStudio - posit::conf(2023)

Presented by James Wade Large language models (LLMs), such as ChatGPT, have shown the potential to transform how we code. As an R package developer, I have contributed to the creation of two packages – gptstudio and gpttools – specifically designed to incorporate LLMs into R workflows within the RStudio environment. The integration of ChatGPT allows users to efficiently add code comments, debug scripts, and address complex coding challenges directly from RStudio. With text embedding and semantic search, we can teach ChatGPT new tricks, resulting in more precise and context-aware responses. This talk will delve into hands-on examples to showcase the practical application of these models, as well as offer my perspective as a recent entrant into public package development. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: I can’t believe it’s not magic: new tools for data science. Session Code: TALK-1154

rstudio Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

It’s All About Perspective: Making a Case for Generative Art - posit::conf(2023)

Presented by Meghan Santiago Harris This talk explores how to create art in the R language while highlighting some similarities between the skills required for creating generative art and those needed to perform data science tasks in R. Because the field of data science is inherently task-oriented, it is no wonder that most people struggle to see the utility of generative art past the bounds of a casual hobby. This talk will invite the participant to learn about generative art while focusing on ““why”” people should create it and its potential place in data science. This talk is suitable for all disciplines and artistic abilities. Furthermore, this talk will aim to expand the participant’s perspective on generative art with the following concepts: What is generative art and how can it be created in R or Python Justifications for generative art within Data Science Examples of programming skills that are transferrable between generative art and pragmatic data science projects Materials: Link to the talk repo: https://github.com/Meghansaha/a_case_for_genart Link to the slides: https://meghansaha.github.io/a_case_for_genart/#/title-slide Link to the artpack package site: https://meghansaha.github.io/artpack/ Personal Site: https://thetidytrekker.com/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Developing your skillset; building your career. Session Code: TALK-1109

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

It’s Abstractions All the Way Down… - posit::conf(2023)

Presented by JD Long Abstractions rule everything around us. JD Long talks about abstractions from the board room to the silicon. Over 20 years ago Joel Spolsky famously wrote, “All non-trivial abstractions, to some degree, are leaky.” Unsurprisingly this has not changed. However, we have introduced more and more layers of abstraction into our workflows: Virtual Machines, AWS services, WASM, Docker, R, Python, data frames, and on and on. But then on top of the computational abstractions we have people abstractions: managers, colleagues, executives, stakeholders, etc. JD’s presentation will be a wild romp through the mental models of abstractions and discuss how we, as technical analytical types, can gain skill in traversing abstractions and dealing with leaks. Materials: https://github.com/CerebralMastication/Presentations/tree/master/2023_posit-conf Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: It’s abstractions all the way down …. Session Code: KEY-1161

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

It’s a Great Time to be an R Package Developer! - posit::conf(2023)

Presented by Jenny Bryan and Hadley Wickham (Due to unforeseen circumstances, Hadley Wickham presented this talk “slide karaoke” style, from materials prepared by Jenny Bryan.) In R, the fundamental unit of shareable code is the package. As of March 2023, there were over 19,000 packages available on CRAN. Hadley Wickham and I recently updated the R Packages book for a second edition, which brought home just how much the package development landscape has changed in recent years (for the better!). In this talk, I highlight recent-ish developments that I think have a great payoff for package maintainers. I’ll talk about the impact of new services like GitHub Actions, new tools like pkgdown, and emerging shared practices, such as principles that are helpful when testing a package. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Package development. Session Code: TALK-1132

Hadley Wickham, Jenny Bryan

pkgdown Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Insights in 5-D! (Using magic small-multiples layouts) - posit::conf(2023)

Presented by Matt Dzugan Using Small-Multiples (faceted graphs) is an effective way to compare patterns across many dimensions. In this talk, I’ll walk you through some ways to lay out your individual facets according to the underlying data. For example, maybe each facet represents a city or point on a 2D plane - we’ll explore ways to organize facets in a grid that mimics the data itself - unlocking your ability to explore patterns in 4+ dimensions. Other solutions to this problem rely on manually-curated lists that map common layouts to a grid, but in this talk, we’ll explore solutions that work on EVERYTHING. I’ll show you how to incorporate this technique into your viz and how I built the libraries since there are some interesting data science concepts at play. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Lightning talks. Session Code: TALK-1174

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

In-Process Analytical Data Management with DuckDB - posit::conf(2023)

Presented by Hannes Mühleisen This talks introduces DuckDB, an in-process analytical data management system that is deeply integrated into the R ecosystem. DuckDB is an in-process analytical data management system. DuckDB supports complex SQL queries, has no external dependencies, and is deeply integrated into the R ecosystem. For example, DuckDB can run SQL queries directly on R data frames without any data transfer. DuckDB uses state-of-the-art query processing techniques like vectorised execution and automatic parallelism. DuckDB is out-of-core capable, meaning that it is possible to process datasets far bigger than main memory. DuckDB is free and open source software under the MIT license. In this talk, we will describe the user values of DuckDB, and how it can be used to improve their day-to-day lives through automatic parallelisation, efficient operators, and out-of-core operations. Materials: https://duckdb.org https://duckdb.org/docs/api/r.html https://github.com/duckdb/duckdb-r Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Databases for data science with duckdb and dbt. Session Code: TALK-1099

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

HTML and CSS for R Users - posit::conf(2023)

Presented by Albert Rapp You can get the most out of popular R tools by combining them with easy-to-learn HTML & CSS commands. It’s easy to think that R users do not need HTML and CSS. After all, R is a language designed for data analysis, right? But the reality is that these web standards are everywhere, even in R. In fact, many great tools like {ggtext}, {gt}, {shiny}, and Quarto unlock their full potential when you know a little bit of HTML & CSS. In this talk, I will demonstrate specific examples where R users can benefit from HTML and CSS and show you how to get started with these two languages. Materials: Here’s the link to the video that I mention in the talk: https://youtu.be/QU8wSya-Y9E?si=zw59OSFPl1eJSY7M Part 1 of this two part series can be found at https://www.youtube.com/watch?v=jX4_Dnzhl0M Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Compelling design for apps and reports. Session Code: TALK-1105

gt Quarto Rapp Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

How You Get Value as a 1-Person Posit Connect Team - posit::conf(2023)

Presented by Sean Nguyen Sean, a sole Posit Connect developer, shares his experience in delivering business impact. He narrates his transition from crafting one-off reports to developing and deploying robust data science web applications using Python and R with Posit Connect. Despite its common association with large enterprise teams, Sean demonstrates how Posit Connect can be effectively utilized in smaller settings. He presents his work on creating and deploying end-to-end machine learning pipelines in Python, hosting them as APIs, and seamlessly integrating with Shiny apps via Posit Connect. This talk imparts practical strategies and techniques to foster user and executive adoption of Posit Connect within lean (and large) organizations. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Getting %$!@ done: productive workflows for data science. Session Code: TALK-1093

Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

How to Win Friends and Influence People (With Data) - posit::conf(2023)

Presented by Joe Powers Too many great data science products never go into production. To persuade leaders and colleagues to adopt your data science offering, you must translate your insights into terms that are relevant and accessible to them. Attempts to persuade these audiences with proofs and model performance stats will often fall flat because the audience is left feeling overwhelmed. This talk will demonstrate the data simulation, visualization, and story-telling techniques that I use to influence leadership and the community-building techniques I use to earn the trust and support of fellow analysts. These efforts were successful in persuading Intuit to adopt advanced analytic methods like sequential analysis that cut the duration of our AB tests by over 60%. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Bridging the gap between data scientists and decision makers. Session Code: TALK-1077

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

How to Keep Your Data Science Meetup Sustainable - posit::conf(2023)

Presented by Ted Laderas Many data science meetup organizers struggle with burnout. It can be daunting to plan a meetup schedule, especially with the added burden of work and life. In this talk, I want to highlight some strategies for keeping your data science meetup sustainable. Specifically, I want to highlight the role of self-care in growing and sustaining your group, as well as low-key activities like a data scavenger hunt, watching videos together, styling plots together, and sharing useful tidyverse functions. By making it easy for your members to contribute and empowering them, it takes a lot of the burden off you as an organizer. You don’t need to reinvent the wheel for meetups or have famous guests for each one. Let’s start the conversation and make your meetup last. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: It takes a village: building and sustaining communities. Session Code: TALK-1129

tidyverse Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

How to Help Developers Make Apps Users Love - posit::conf(2023)

Presented by Michał Parkoła There are many resources that can help you design better apps. But what if your org creates many apps? Scaling good design to larger groups dials the challenge up to 11. In this talk, I will share how we approach the problem at Appsilon. I will present our in-house Design Guide. I will share the successes and failures we’ve had building it and helping a wide variety of developers use it I will then share some tips about what you might want to consider if you want to help your org build better apps at scale. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Shiny user interfaces. Session Code: TALK-1127

Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

How I Learned to Stop Worrying and Love Public Packages - posit::conf(2023)

Presented by Joe Roberts The popularity of R and Python for data science is in no small part attributable to the vast collection of extension packages available for everything from common tasks like data cleaning to highly-specialized domain-specific functions. However, with that ease of sharing packages comes a larger target for bad actors trying to exploit them. We’ll explore these security risks along with approaches you can take to mitigate them using Posit Package Manager. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Managing packages. Session Code: TALK-1079

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

How Data Scientists Broke A/B Testing (And How We Can Fix It) - posit::conf(2023)

Presented by Carl Vogel As data scientists, we care about making valid statistical inferences from experiments. And we’ve adapted well-established and well-understood statistical methods to help us do so in our A/B tests. Our stakeholders, though, care about making good product decisions efficiently. I’ll describe how the way we design A/B tests can put these goals in tension and why that often causes misalignment between how A/B tests are intended to be used and how they are actually used. I’ll also talk about how I’ve used R to implement alternative experimental approaches that have helped bridge the gap between data scientists and stakeholders. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Bridging the gap between data scientists and decision makers. Session Code: TALK-1076

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Hitting the Target(s) of Data Orchestration - posit::conf(2023)

Presented by Alexandros Kouretsis We are living at a time when the size of datasets can be overwhelming. Add to this that their process involves linking together different computing systems and software, and integrating dynamically changing reference data, and for sure, you have a problem. Reproducibility, traceability, and transparency have left the building. Here is where Posit Connect along with the vast R ecosystem comes to save the day, allowing the creation of reproducible pipelines. I will share with you my first-hand experience in this presentation. In particular, how we used Targets in Posit Connect combined with AWS technologies in a bioinformatics pipeline. The result? An effective and secure workflow orchestration that is scalable and advances knowledge. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Leave it to the robots: automating your work. Session Code: TALK-1148

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Grammar of Graphics in Python with Plotnine - posit::conf(2023)

Presented by Hassan Kibirige {plotnine} brings the elegance of {ggplot2} to the Python programming language. Learn about The Grammar of Graphics and get a feel of why it is an effective way to create Statistical Graphics. ggplot2 is one of the most loved visualisation libraries. It implements a Grammar of Graphics system, which requires one to think about data in terms of columns of variables and how to transform them into geometric objects. It is elegant and powerful. This is a talk about plotnine, which brings the elegance of ggplot2 to the Python programming language. It is an invitation to learn about the Grammar of Graphics system and to appreciate it. It will include some tips on how to avoid common frustrations as you learn the system. Materials: Website: https://plotnine.org Source Code: https://github.com/has2k1/plotnine Slides for this talk: https://github.com/has2k1/my-talks Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science with Python. Session Code: TALK-1137

Hassan Kibirige

ggplot2 plotnine Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Github Copilot integration with RStudio, it’s finally here! - posit::conf(2023)

Presented by Tom Mock This talk closes issue #10148, “Github Copilot integration with RStudio”, the most upvoted feature request in RStudio’s history. Code generating AI tools like Github Copilot‚ promise an “AI pair programmer that offers autocomplete-style suggestions as you code”. For the first time, we’ll show a native integration of Copilot into RStudio, helping to build on that promise by providing AI-generated “ghost text” autocompletion with R and other languages. I’ll also provide a comparison of Copilot’s “ghost text” to a chat-style interface in RStudio via the {chattr} package from the Posit MLVerse team. To make the most of these new features, I’ll walk through some examples of how sharing additional context, comments, code, and other “prompt engineering” can help you go from code-generating AI tools that feels like an annoying backseat driver to an experienced copilot. We’ll close with a robust end-to-end example of how these new RStudio integrations and packages can help you be a more productive developer. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science infrastructure for your org. Session Code: TALK-1117

rstudio Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Getting the Most Out of Git - posit::conf(2023)

Presented by Colin Gillespie Did you believe that Git will solve all of your data science worries? Instead, you’ve been plunged HEAD~1 first into merging (or is that rebasing?) chaos. Issues are ignored, branches are everywhere, main never works, and no one really knows who owns the repository. Don’t worry! There are ways to escape this pit of despair. Over the last few years, we’ve worked with many data science teams. During this time, we’ve spotted common patterns and also common pitfalls. While one size does not fit all, there are golden rules that should be followed. At the end of this talk, you’ll understand the processes other data science teams implement to make Git work for them. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Getting %$!@ done: productive workflows for data science. Session Code: TALK-1091# Thumbnail from happygitwithr.com, still from Heaven King video

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

From Novices to Experts: Building a Community of Engaged R Users - posit::conf(2023)

Presented by Natalia Andriychuk At Pfizer, we have over 1500 users with R installed on their machines, along with an R community on MS Teams comprising over a thousand colleagues globally. How can we effectively engage with Pfizer R users and celebrate the successes of this community, while sharing best practices? Additionally, how do we avoid isolated groups duplicating efforts to solve R-related problems across different parts of the organization? To address these challenges, we established the Pfizer R Center of Excellence (CoE) in early 2022. We focus our efforts on bringing together a rapidly growing community of colleagues, providing technical expertise, and offering best-practice guidance. A well-established, maintained and engaged R community promotes an inclusive and supportive learning environment that drives innovation within organizations. Our aim is to help colleagues thrive in their R journey, regardless of their expertise level. During my talk, I will share the techniques we used to build a supportive R community, the tools employed to increase community engagement, and the successes and challenges encountered in building an engaging community of R users. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Pharma. Session Code: TALK-1066

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

From Journalist to Coder: Creating a Web Publication with Quarto - posit::conf(2023)

Presented by Brian Tarran This is the story of how a Royal Statistical Society writer discovered Quarto, learned how to code (a bit), and built realworlddatascience.net, an online publication for the data science community. In March 2022, I was tasked by the Royal Statistical Society with creating a new online publication: a data science website for data science professionals. I’ve been a print journalist for 20 years and have worked on websites in that time, but my coding ability began and ended with wrapping href tags around text and images. That is until I discovered Quarto. In this talk, I describe how I explored, learned, and fell in love with the Quarto publishing system, how I used it to build a website – Real World Data Science (realworlddatascience.net) – and how the open source community mindset helped shape my thinking about what a new publication could and should be! Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Quarto (1). Session Code: TALK-1071

Quarto Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

From Data Confusion to Data Intelligence - posit::conf(2023)

Presented by Elaine McVey and David Meza Data science teams operate in a unique environment, much different than the IT or software development life cycle. Hope from executives for the impact of data science is extremely high! Understanding of how to make data science efforts successful is very low! This creates an interesting set of organizational challenges for data and analytics teams. These are particularly clear when data science is being introduced at new companies, but plays out at organizations of all sizes. So, how do we navigate this dynamic? We will share some strategies for success. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: From Data Confusion to Data Intelligence. Session Code: KEY-1060

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

From Concept to Impact: Building and Launching Shiny Apps in the Workplace - posit::conf(2023)

Presented by Tiger Tang Learn to build and launch a Shiny app like you are working on a start-up! Unlock the potential of Shiny apps for your organization! Join Tiger as he shares insights from implementing Shiny apps at his workplace, handling over 160,000 internal requests. Discover a practical mindmap to find, build, and enhance Shiny app use cases, ensuring robustness and improved user engagement. Materials: https://tigertang.org/posit_conf_2023/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Bridging the gap between data scientists and decision makers. Session Code: TALK-1074

Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

FOCAL Point: Utilizing Python, R, and Shiny to Capture, Process, and Visualize Motion - posit::conf

Presented by Justin Markel & Alyssa Burritt One of the fastest movements in modern sports is a golf swing. Capturing this motion using a high-speed camera system creates many unique challenges in processing, analyzing, and visualizing the thousands of data points that are generated. These spatial coordinates can be quickly translated through Python scripts to well-known, industry-specific performance metrics and graphics in Shiny. Down the line, R utilities aid more complicated analyses and optimizations, driving new product innovations. This talk will cover our company’s process of implementing these tools into our workflow and highlight key program features that have helped successfully combine these applications for users with a variety of technical backgrounds. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: R or Python? Why not both!. Session Code: TALK-1120

Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Field Guide to Writing Your First R Package - posit::conf(2023)

Presented by Fonti Kar I recall writing my first package being an intimidating task. In my talk, I will share how a Biologist’s mindset can make R package writing more approachable. This talk is an encouragement and a gentle stroll through the package building process. I will show you ways to be curious when you get stuck and how to prepare for the unexpected. I hope sharing my perspective will help others see package development as wonderful as the natural world and dispel any hesitation to start! Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Package development. Session Code: TALK-1135

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Extending Quarto - posit::conf(2023)

Presented by Richard Iannone What are Quarto shortcode extensions? Think of them as powerful little programs you can run in your Quarto docs. I won’t show you how to build a shortcode extension during this talk but rather I’m going to take you on a trip across this new ecosystem of shortcode extensions that people have already written. For example, I’ll introduce you to the fancy-text extension for outputting nicely-formatted versions of fancy strings such as LaTeX and BibTeX; you’ll learn all about the fontawesome, lordicon, academicons, material-icons, and bsicons shortcode extensions that let you add all sorts of icons. This is only a sampling of the shortcode extensions I will present, there will be many other inspiring examples as well. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Quarto (2). Session Code: TALK-1141

fontawesome Quarto Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

epoxy: Super Glue for Data-driven Reports and Shiny Apps - posit::conf(2023)

Presented by Garrick Aden-Buie R Markdown, Quarto, and Shiny are powerful frameworks that allow authors to create data-driven reports and apps. But truly excellent reports require a lot of work in the final steps to get numerical and stylistic formatting just right. {epoxy} is a new package that uses {glue} to give authors templating superpowers. Epoxy works in R Markdown and Quarto, in markdown, LaTeX, and HTML outputs. It also provides easy templating for Shiny apps for dynamic data-driven reporting. Beyond epoxy’s features, this talk will also touch on tips and approaches for data-driven reporting that will be useful to a wide audience, from R Markdown experts to the Quarto and Shiny curious. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Elevating your reports. Session Code: TALK-1155

Garrick Aden-Buie

Quarto Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Dynamic Interactions: webR to Empower Educators & Researchers with Interactive Quarto Docs

Presented by James Balamuta Full talk title: Dynamic Interactions: Empowering Educators and Researchers with Interactive Quarto Documents Using webR Traditional Quarto documents often lack interactivity, limiting the ability of students and researchers to fully explore and engage with the presented topic. In this talk, we propose a novel approach that utilizes webR, a WebAssembly-powered version of R, to seamlessly embed R code directly within the browser without the need for a server. We demonstrate how this approach can transform static Quarto documents into dynamic examples by leveraging webR’s capabilities through standard Quarto code cells, enabling real-time execution of R code and dynamic display of results. Our approach empowers educators and researchers alike to harness the power of interactivity and reproducibility for enhanced learning and research experiences. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Quarto (1). Session Code: TALK-1073

Quarto Quarto Rmd Rmarkdown Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Posit Python ML

duckplyr: Tight Integration of duckdb with R and the tidyverse - posit::conf(2023)

Presented by Kirill Müller The duckplyr R package combines the convenience of dplyr with the performance of DuckDB. Better than dbplyr: Data frame in, data frame out, fully compatible with dplyr. duckdb is the new high-performance analytical database system that works great with R, Python, and other host systems. dplyr is the grammar of data manipulation in the tidyverse, tightly integrated with R, but it works best for small or medium-sized data. The former has been designed with large or big data in mind, but currently, you need to formulate your queries in SQL. The new duckplyr package offers the best of both worlds. It transforms a dplyr pipe into a query object that duckdb can execute, using an optimized query plan. It is better than dbplyr because the interface is “data frames in, data frames out”, and no intermediate SQL code is generated. The talk first presents our results, a bit of the mechanics, and an outlook for this ambitious project. Materials: https://github.com/duckdblabs/duckplyr/ Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Databases for data science with duckdb and dbt. Session Code: TALK-1100

dbplyr dplyr duckplyr tidyverse Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

dplyr 1.1.0 Features You Can’t Live Without - posit::conf(2023)

Presented by Davis Vaughan Did you enjoy my clickbait title? Did it work? Either way, welcome! The dplyr 1.1.0 release included a number of new features, such as: Per-operation grouping with.by An overhaul to joins, including new inequality and rolling joins New consecutive_id() and case_match() helpers Significant performance improvements in arrange() Join me as we take a tour of this exciting dplyr update, and learn how to use these new features in your own work! Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Lightning talks. Session Code: TALK-1162

Davis Vaughan

dplyr Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Diversify Your Career with Shiny for Python - posit::conf(2023)

Presented by Gordon Shotwell A few years ago my company made a sudden shift from R to Python which was quite bad for my career because I didn’t really know Python. The main issue was that I couldn’t find a niche that allowed me to use my existing knowledge while learning the new language. Shiny for Python is a great niche for R users because none of the Python web frameworks can do what Shiny can do. Additionally, almost all of your knowledge of the R package is applicable to the Python one. This talk will provide an overview of the Python web application landscape and articulate what Shiny adds to this landscape, and then go through the five things that R users need to know before developing their first Shiny for Python application. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science with Python. Session Code: TALK-1138

Shiny for Python Shiny Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Developing a Prototyping Competency in a Statistical Science Organization - posit::conf(2023)

Presented by Daniel Woodie The introduction of new tools, methods, and processes can be a struggle within a statistical science organization. Being deliberate and investing in the creation of a prototyping competency can help in accelerating progress. Prototyping allows organizations to quickly experiment with new ideas, reduce the risk of failure, identify potential issues early, and iterate until the desired outcome is achieved. I will highlight the key areas we have focused on accelerating, our framework for developing this competency, how we use Shiny, and the lessons we’ve learned along the way. Developing a prototyping competency is crucial for statistical science organizations that wish to stay competitive and innovative in today’s rapidly changing landscape. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Building effective data science teams. Session Code: TALK-1059

Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Democratizing Access to Education Data - posit::conf(2023)

Presented by Erika Tyagi Learn how the Urban Institute is making high-quality data more accessible through the Education Data Portal. Every year, government agencies release large amounts of data on schools and colleges, but this information is scattered across various websites and is often difficult to use. To make these data more accessible, the Urban Institute built the Education Data Portal, a freely available one-stop shop for harmonized data and metadata for nearly all major federal education datasets. In this talk, we’ll demonstrate how the portal works and share lessons we’ve learned about making data accessible to users with varying technical skills and preferred programming languages. The Urban Institute’s Education Data Portal: https://educationdata.urban.org Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: End-to-end data science with real-world impact. Session Code: TALK-1145

Automation Humans Python Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

dbtplyr: Bringing Column-Name Contracts from R to dbt - posit::conf(2023)

Presented by Emily Riederer starts_with(language): Translating select helpers to dbt. Translating syntax between languages transports concepts across communities. We see a case study of adapting a column-naming workflow from dplyr to dbt’s data engineering toolkit. dplyr’s select helpers exemplify how the tidyverse uses opinionated design to push users into the pit of success. The ability to efficiently operate on names incentivizes good naming patterns and creates efficiency in data wrangling and validation. However, in a polyglot world, users may find they must leave the pit when comparable syntactic sugar is not accessible in other languages like Python and SQL. In this talk, I will explain how dplyr’s select helpers inspired my approach to ‘column name contracts,’ how good naming systems can help supercharge data management with packages like {dplyr} and {pointblank}, and my experience building the {dbtplyr} to port this functionality to dbt for building complex SQL-based data pipelines. Materials: https://github.com/emilyriederer/dbtplyr https://emilyriederer.com Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Databases for data science with duckdb and dbt. Session Code: TALK-1098

dplyr pointblank tidyverse Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Data Visualization with Seaborn - posit::conf(2023)

Presented by Michael Waskom Seaborn is a Python library for statistical data visualization. After nearly a decade of development, seaborn recently introduced an entirely new API that is more explicitly based on a formal grammar of graphics. My talk will introduce this API and contrast it with the classic seaborn interface, sharing insights about the influence of the grammar of graphics on the ergonomics and maintainability of data visualization software. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science with Python. Session Code: TALK-1136

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Data Science in Production: The Way to a Centralized Infrastructure - posit::conf(2023)

Presented by Oliver Bracht In this talk, the success story of Covestro’s posit infrastructure is presented. The problem of the leading German material manufacturer was that no common development environment existed. With the help of eoda and Posit, a replicable, centralized development environment for R and Python was created. Although R and Python represent the core of the infrastructure, multiple languages and tools are unified. In addition to the collaboration of Covestro’s data science teams, compliance guidelines could also be better fulfilled. The staging architecture hereby provides developers with a concept for testing and going live with their products. This project presents a best practice approach to a data science infrastructure using Covestro as an example. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science infrastructure for your org. Session Code: TALK-1113

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-Universe - posit::conf

Presented by Mo Athanasia Mowinckel Say goodbye to installation headaches and hello to a universe of possibilities with R-Universe! Take your R package development to new frontiers by organizing and sharing packages beyond the bounds of CRAN. R-Universe’s reliable package-building process strengthens installation and usage instructions, resulting in fewer support requests and an easy installation experience for users. With webpages and an API for exploring packages, R-Universe creates a streamlined and tidy ecosystem for R-package constellations. Also, you can build a custom toolchain for your users, relieving your workload and empowering users to help themselves. Join me to learn how to explore the vastness of R-Universe and expand your package development possibilities! Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Managing packages. Session Code: TALK-1080

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Connect on Kubernetes: Content-level Containerization - posit::conf(2023)

Presented by E. David Aja, not Kelly O’Briant Running Connect with off-host content execution in Kubernetes is very cool and allows you to enable some powerful and sophisticated workflows. The question is, do you really need it? How do you evaluate and decide? Let’s have a candid conversation about whether Connect content execution on Kubernetes is right for you and your organization. Moving to Kubernetes will introduce complexity, so it’s important to have a strong motivating reason for making the switch. This talk will introduce new Connect features that are made possible by content-level containerization. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Data science infrastructure for your org. Session Code: TALK-1116

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Conformal Inference with Tidymodels - posit::conf(2023)

Presented by Max Kuhn Conformal inference theory enables any model to produce probabilistic predictions, such as prediction intervals. We’ll demonstrate how these analytical methods can be used with tidymodels. Simulations will show that the results have good coverage (i.e., a 90% interval should include the real point 90% of the time). Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Tidy up your models. Session Code: TALK-1085

Max Kuhn

tidymodels AI Modelling Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Commit to Change: How to Increase Accessibility in Your Favorite Open Source Projects - posit::conf

Presented by Rose Franzen Explore accessibility for data scientists by uncovering some common barriers in open source tools with simple fixes that anyone can implement. Dive into the often-overlooked world of accessibility for developers and data scientists! Uncover common accessibility barriers in open source tools, and learn simple steps to address them. Whether you’re a seasoned maintainer or a total novice, you’ll walk away with clear action items to implement right away. Join the movement of individuals championing the next frontier of disability inclusion in technology, shaping a more equitable future for all! Materials: https://github.com/franzenr/commit-to-change Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Package development. Session Code: TALK-1134

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Combining R and Python for the Belgian Justice Department - posit::conf(2023)

Presented by Thomas Michem We build a great case on how to combine R and Python in a production environment. So the justice department’s back office monitors the smooth processing of all traffic fines in Belgium. They gather that data from all police departments and check if any anomalies occur. The back-office monitors that using a shiny application where they can see traffic signs showing the status of the whole operation and the status is built using Python scripts that perform anomaly detection if the number of fines is in line with what they expect daily. And the results of those checks are delivered to a front-end shiny application with Python flask API. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: R or Python? Why not both!. Session Code: TALK-1122

Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Coding Tools for Industry R&D – Development Lessons from an Analytical Lab - posit::conf(2023)

Presented by Camila Saez Cabezas Are you considering or curious about developing code-based tools for scientists? Whether you are an experienced developer or a fellow Posit Academy graduate who might be stepping into this role for the first time, the aim of my story is to inspire you and help you navigate this process. While developing custom R functions, packages, and Shiny apps for diverse analytical capabilities and users in R&D, I learned why it’s important to collect certain information at the start before writing any tidying, analysis, visualization, and web application code. In this talk, I will share the essential technical questions that help me define and plan for success. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Lightning talks. Session Code: TALK-1168

Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

CI/CD Pipelines - Oh, the Places You’ll Go! - posit::conf(2023)

Presented by Trevor Nederlof Data scientists are creating incredibly useful data products at an accelerating rate. These products are consumed by others who expect them to be accurate reliable and timely, often promises unfulfilled. In this talk, we will explore how to use common CI/CD pipeline tools already within reach of attendees to automatically test and deploy their apps, APIs, and reports. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Lightning talks. Session Code: TALK-1166

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Can I Have a Word? - posit::conf(2023)

Presented by Ellis Hughes Since its release, {gt} has won over the hearts of many due to its flexible and powerful table-generating abilities. However, in cases where office products were required by downstream users, {gt}’s potential remained untapped. That all changed in 2022 when Rich Iannone and I collaborated to add Word documents as an official output type. Now, data scientists can engage stakeholders directly, wherever they are. Join me for an upcoming talk where I’ll share my excitement about the new opportunities this update presents for the R community as well as future developments we can look forward to. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Elevating your reports. Session Code: TALK-1156

Rich Iannone

gt Word Data Science Quarto Databricks Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Posit ML

Building a Flexible, Scaleable Self-Serve Reporting System with Shiny - posit::conf(2023)

Presented by Natalie O’Shea Working in the high-touch world of consulting, our team needed to develop a reporting system that was flexible enough to be tailored to the specific needs of any given partner while still reducing the highly manual nature of populating client-ready slide decks with various metrics and data visualizations. Utilizing the extensive resources developed by the R user community, I was able to create a flexible, scalable reporting system that allows users to populate templated Google slide decks with metrics and professional-grade visualizations using data pulled directly from our database at the time of query. This streamlined approach enables our consultants to spend less time copy-pasting data from one channel to another and instead focus on what they do best: surfacing business-relevant insights and recommendations for our partners. By sharing my approach to customizable self-serve reporting in Shiny, I hope attendees will walk away with new ideas about how to combine parameterized reporting and dashboard development to get the best of both worlds. Additionally, I hope to end by sharing how this project was pivotal in making the business case for procuring Posit products for my broader organization. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Bridging the gap between data scientists and decision makers. Session Code: TALK-1075

Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Black Hair and Data Science Have More in Common Than You Think - posit::conf(2023)

Presented by Kari Jordan Data science is often difficult to define because of its many intersections, including statistics, programming, analytics, and other domain knowledge. Would you believe it if I told you Black hair and data science have much in common? This talk is for those considering learning about, studying, or pursuing data science. In it, Dr. Kari L. Jordan draws parallels between approaches to caring for Black hair and approaches to learning data science. We start with the roots and end by picking the right tools and products to maintain our coiffure. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: It takes a village: building and sustaining communities. Session Code: TALK-1131

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Becoming an R Package Author (or How I Got Rich Responding to GitHub Issues) - posit::conf(2023)

Presented by Matt Herman The transition from analyzing data in R to making packages in R can feel like a big step. Writing code to clean data or make visualizations seems categorically different from building robust “software” on which other people rely. In this talk, I’ll show why that distinction is not necessarily true by discussing my personal experience from learning R in graduate school to reporting bugs on GitHub to becoming a co-author of the tidycensus package and a practicing data scientist. The positive and supportive R community on GitHub, Twitter, and elsewhere contributes to why anyone who writes R code can become a package author. I have not actually gotten rich but I did get freelance data work based on my package contributions! Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Package development. Session Code: TALK-1133

Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

Automating the Dutch National Flu Surveillance for Pandemic Preparedness - posit::conf(2023)

Presented by Patrick van den Berg The next pandemic may be caused by a flu strain, and with thousands of patients with the flu in Dutch hospitals annually it is important to have accurate and current data. The National Institute for Public Health and the Environment of the Netherlands (RIVM) collects and processes flu data to achieve pandemic preparedness. However, the flu reporting process used to be very laborious, stealing precious time from epidemiologists. In our journey of automating this data pipeline we learned that collaboration was the most important factor in getting to a working system. This talk will be at the cross-section of data science and epidemiology and will provide you with a valuable opportunity to learn from our experiences. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Leave it to the robots: automating your work. Session Code: TALK-1150

Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

AI and Shiny for Python: Unlocking New Possibilities - posit::conf

Presented by Winston Chang In the past year, people have come to realize that AI can revolutionize the way we work. This talk focuses on using AI tools with Shiny for Python, demonstrating how AI can accelerate Shiny application development and enhance its capabilities. We’ll also explore Shiny’s unique ability to interface with AI models, offering possibilities beyond Python web frameworks like Streamlit and Dash. Learn how Shiny and AI together can empower you to do more, and do it faster. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: I can’t believe it’s not magic: new tools for data science. Session Code: TALK-1153

Winston Chang

Shiny for Python Shiny Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python ML

Adding a Touch of glitr: Developing a Package of Themes on Top of ggplot - posit::conf(2023)

Presented by Aaron Chafetz and Karishma Srikanth Please note, a power issue cut off the first five minutes of the talk. Explore how our team at the US Agency for International Development (USAID) created our own data viz branding R package on top of ggplot2 and how you can too. How do you create brand cohesion across your large team when it comes to data viz? Inspired by the BBC’s bbplot, our team at the US Agency for International Development (USAID) developed a package on top of ggplot2 to create a common look and feel for our team’s products. This effort improved not just the cohesiveness of our work, but also trustworthiness. By creating this package, we reduced the reliance on using defaults and the time spent on each project customizing numerous graphic elements. More importantly, this package provided an easier on-ramp for new teammates to adopt R. We share our journey within a federal agency developing a style guide and aim to guide and inspire other organizations who could benefit from developing their own branding package and guidance. Materials: https://speakerdeck.com/achafetz/adding-a-touch-of-glitr https://usaid-oha-si.github.io/glitr/ https://issuu.com/achafetz/docs/oha_styleguide Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Compelling design for apps and reports. Session Code: TALK-1103

ggplot2 Databricks Data Science Rstudio Machine Learning Python Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr GitHub Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit ML

shiny	Search all fields
title:shiny	Title only
date:>2025-01-01	After a date
(a OR b) AND c	Group with parens

Tidyverse

R Not Only In Production - posit::conf(2023)

Quickly get your Quarto HTML theme in order - posit::conf(2023)

Parameterized Quarto Reports Improve Understanding of Soil Health - posit::conf(2023)

Package Management for Data Scientists - posit::conf(2023)

Open Source Solutions to Next-Generation Submissions, After 30 Years of Industry Experience

Open Source Property Assessment: Tidymodels to Allocate $16B in Property Taxes - posit::conf(2023)

Oops I’m a Manager - On More Effective 1-on-1 Meetings - posit::conf(2023)

Never again in outer par mode: making next-generation PDFs with Quarto & typst - posit::conf(2023)

Motley Crews: Collaborating with Quarto - posit::conf(2023)

Matching Tools to Titans: Tailoring Posit Workbench for Every Cloud - posit::conf(2023)

Making a (Python) Web App is easy! - posit::conf(2023)

Magic with WebAssembly and webR - posit::conf(2023)

Large Language Models in RStudio - posit::conf(2023)

It’s All About Perspective: Making a Case for Generative Art - posit::conf(2023)

It’s Abstractions All the Way Down… - posit::conf(2023)

It’s a Great Time to be an R Package Developer! - posit::conf(2023)

Insights in 5-D! (Using magic small-multiples layouts) - posit::conf(2023)

In-Process Analytical Data Management with DuckDB - posit::conf(2023)

HTML and CSS for R Users - posit::conf(2023)

How You Get Value as a 1-Person Posit Connect Team - posit::conf(2023)

How to Win Friends and Influence People (With Data) - posit::conf(2023)

How to Keep Your Data Science Meetup Sustainable - posit::conf(2023)

How to Help Developers Make Apps Users Love - posit::conf(2023)

How I Learned to Stop Worrying and Love Public Packages - posit::conf(2023)

How Data Scientists Broke A/B Testing (And How We Can Fix It) - posit::conf(2023)

Hitting the Target(s) of Data Orchestration - posit::conf(2023)

Grammar of Graphics in Python with Plotnine - posit::conf(2023)

Github Copilot integration with RStudio, it’s finally here! - posit::conf(2023)

Getting the Most Out of Git - posit::conf(2023)

From Novices to Experts: Building a Community of Engaged R Users - posit::conf(2023)

From Journalist to Coder: Creating a Web Publication with Quarto - posit::conf(2023)

From Data Confusion to Data Intelligence - posit::conf(2023)

From Concept to Impact: Building and Launching Shiny Apps in the Workplace - posit::conf(2023)

FOCAL Point: Utilizing Python, R, and Shiny to Capture, Process, and Visualize Motion - posit::conf

Field Guide to Writing Your First R Package - posit::conf(2023)

Extending Quarto - posit::conf(2023)

epoxy: Super Glue for Data-driven Reports and Shiny Apps - posit::conf(2023)

Dynamic Interactions: webR to Empower Educators & Researchers with Interactive Quarto Docs

duckplyr: Tight Integration of duckdb with R and the tidyverse - posit::conf(2023)

dplyr 1.1.0 Features You Can’t Live Without - posit::conf(2023)

Diversify Your Career with Shiny for Python - posit::conf(2023)

Developing a Prototyping Competency in a Statistical Science Organization - posit::conf(2023)

Democratizing Access to Education Data - posit::conf(2023)

dbtplyr: Bringing Column-Name Contracts from R to dbt - posit::conf(2023)

Data Visualization with Seaborn - posit::conf(2023)

Data Science in Production: The Way to a Centralized Infrastructure - posit::conf(2023)

CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-Universe - posit::conf

Connect on Kubernetes: Content-level Containerization - posit::conf(2023)

Conformal Inference with Tidymodels - posit::conf(2023)

Commit to Change: How to Increase Accessibility in Your Favorite Open Source Projects - posit::conf

Combining R and Python for the Belgian Justice Department - posit::conf(2023)

Coding Tools for Industry R&D – Development Lessons from an Analytical Lab - posit::conf(2023)

CI/CD Pipelines - Oh, the Places You’ll Go! - posit::conf(2023)

Can I Have a Word? - posit::conf(2023)

Building a Flexible, Scaleable Self-Serve Reporting System with Shiny - posit::conf(2023)

Black Hair and Data Science Have More in Common Than You Think - posit::conf(2023)

Becoming an R Package Author (or How I Got Rich Responding to GitHub Issues) - posit::conf(2023)

Automating the Dutch National Flu Surveillance for Pandemic Preparedness - posit::conf(2023)

AI and Shiny for Python: Unlocking New Possibilities - posit::conf

Adding a Touch of glitr: Developing a Package of Themes on Top of ggplot - posit::conf(2023)

No items found