talk-sample.R

talks <-
  tibble::tribble(
    ~ talks,
    "{shinyslack}",
    "{shinytest2}",
    "A Journey to Data Science",
    "A new way to build your Shiny app's UI",
    "A Robust Framework for Automated Shiny App Testing",
    "A touch of R in Robotics",
    "Accelerating geospatial computing using Apache Arrow",
    "Achieving a seamless workflow between R, Python and SAS from within RStudio",
    "Advocating for Automation",
    "An Integrated Workflow",
    "An introduction to R7",
    "An Introduction to the Apple Health Export",
    "Becoming Creative: Quilting with R",
    "Building a client portal app with embedded Power BI reports",
    "Building a ggplot2 rollercoaster",
    "Building Accessible Lessons with R and Friends",
    "Building Impactful Shiny Dashboards at NIH",
    "censored - Survival Analysis in tidymodels",
    "Comparing package versions with Diffify",
    "Creating a data input platform using tidyverse",
    "Creating a Design System for Shiny and RMarkdown",
    "Cross-Industry Anomaly Detection Solutions with R and Shiny",
    "Cultivating Your Own R Ecosystem as a Solo Contributor",
    "Dashboard-Builder",
    "Data science training in communities with limited resources and opportunities",
    "dbcooper: Turn any database into an R or Python package",
    "Demystifying MLOps",
    "Demystifying the art of creating custom libraries for your organization",
    "Designing a Socially-Critical Data Science Course",
    "Designing for people is hard",
    "Developing internal tools for multi-lingual teams",
    "Digging a Pit of Success for Your Organization",
    "Dissecting the quick fix",
    "Dive Deep into Metadata with Tplyr",
    "dm: Analyze, build and deploy relational data models",
    "Enterprise-Level Data Science Success",
    "Everything I learned about community building from growing up in a restaurant",
    "Exploratory Spatial Data Analysis in the tidyverse",
    "Exploring Query Optimization",
    "From summarizing projects to setting tags, uses of parsing R files",
    "Garbage Data",
    "ggplot internals with {ggtrace}",
    "Good practices for applied machine learning",
    "Hello Quarto",
    "Highlights of the knitr package from the past two years",
    "How Anchorage Built Alaska’s Vaccine Finder with R",
    "How to be a pollinatoR",
    "I made an entire e-commerce platform on Shiny",
    "Implications of R syntax in intro stats",
    "Introducing Rhino",
    "Introducing workboots",
    "It's about time",
    "leafdown: Interactive multi-layer maps in Shiny apps",
    "Let your mobile shine: Making shiny apps mobile responsive",
    "Let's start at the beginning - bits to character encoding in R",
    "Literate Programming With Quarto",
    "Making awesome automations with GitHub Actions",
    "Making Data Pipelines in R",
    "Mobile, Low-Bandwidth and Low-Tech",
    "Model Migration",
    "Oddly Satisfying - Find delight in the mundane",
    "Optimal allocation of COVID-19 vaccines in west Africa",
    "Packages and Process",
    "Project Immortality With GitHub",
    "Publishing Customer Facing Products with RStudio Connect",
    "Quarto for the Curious",
    "R Markdown + RStudio Connect + R Shiny",
    "R Package Assessment",
    "R Shiny - From Conception to the Cloud",
    "R, Python, and Tableau",
    "Remote Content Execution with RStudio Connect and Kubernetes",
    "Robust R Deployments",
    "RStudio: 2022 and Beyond",
    "Running Shiny without a server",
    "Save an ocean of time",
    "Saving 1,000 hours with RStudio",
    "Say Hello! to Multilingual Shiny Apps",
    "Scaling and automating R workflows with Kubernetes and Airflow",
    "Sometimes you just need words",
    "The Benefit of Talking to the \"Non-Datas\"",
    "The Future of missing data",
    "The Past and Future of Shiny",
    "The Polygons of Another World - realtime interactive rendering in R",
    "The tidysynthesis R package",
    "The worlds smallest R environment? Running R on a $15 computer",
    "These are a few of my favorite things (about Quarto presentations)",
    "Tidy Transit",
    "tidyclust - expanding tidymodels to clustering",
    "Tidyverse and Power BI",
    "Translating from {tidymodels} and scikit-learn",
    "Visualizing distributions and uncertainty using ggdist",
    "We R KaggleRs - At the Intersection of Data Science Communities",
    "WebR: R running in the browser",
    "Websites & Books & Blogs, oh my! Creating Rich Content with Quarto",
    "What they forgot to teach you about becoming an open source contributor",
    "What they forgot to teach you about starting a business with R",
    "WTF AITA: What they forgot to teach you about industry transitions from academia",
    "Yes, you can use Python with RStudio Team!",
    "You should be using renv",
    "Zero-setup R workshops with GitHub Codespaces"
  )

set.seed(20220725)

dplyr::slice_sample(talks, n = 5)