Workshop Resources

We cover a lot of ground in this workshop. Below is a summary of the packages and references that you may find helpful to revisit.

Making API requests

• httr2

Data Exploration

• pointblank::scan_data()

Working with databases

• Best practices in working with databases
• Connect to a database
• Query a database table
• Securing credentials
• Making scripts portable

Data Validation and Reporting

• pointblank
• Try the pointblank test drive on Posit Cloud to see all the features
• Pointblank data dictionary (a.k.a. the informant)
• Monitor data quality over time with the pointblank multiagent

Conditional Alerting

• Email customization with Quarto from the Connect User Guide
• Conditional content in Quarto

Modeling and MLOps

• tidymodels
• vetiver
• pins
• plumber

Shiny

Creating Shiny apps and dashboards

• Get started with Shiny (R or Python!)
• Gallery of examples
• The authoritative reference, Mastering Shiny (Don’t let the title fool you, it’s great for beginners!)
• bslib - add themes, components, and layouts to your dashboard with ease
• thematic - extends your Shiny theme to plots
• shinyuieditor - a visual tool to help create the UI portion of your Shiny app

Shiny in production

• Start here 👉 Joe Cheng’s Shiny in Production talk at 2019 rstudio::conf
• The Performance chapter of Mastering Shiny
• Add logging to app with log4r
• Use shinyloadtest to simulate app performance under load
• Use profvis to profile your app to identify bottlenecks

Curating and Managing Content on Connect

• Use of Tags on Connect
• connectwidgets
• Posit Connect Server API
  • Reference
  • API Cookbook
  • Example reports and apps
  • connectapi R package that is a wrapper around the API

Managing Environments

Package environments

• Understanding Repositories and Libraries
• renv

Promoting code to different environments

• Deployment methods for Connect
• Publishing Workflows for Connect
• Dev/Test/Prod with Posit Team:
• Connect User Guide for Git-backed deployment
• Git-backed publishing patterns
• Examples of CI/CD deployment patterns for:
  • GitHub Actions
  • GitLab CI/CD
  • Azure Pipelines
  • Bitbucket Pipelines
  • Jenkins