From Static ggplot2 to Interactive Plotly to Shiny App

A live-coding presentation from PharmaSUG 2019 - June, 19
Based on Code originally developed by Sean Lopp and Phil Bowsher
https://github.com/philbowsher/PharmaSUG-2019-Creating-Sharing-Shiny-Apps-Gadgets

Transcript

1. From Static ggplot2 to Interactive Plotly to Shiny App RStudio Solutions Engineering
3. Develops free and open tools for R as well as enterprise-ready professional products for teams to scale and share work.
5. • Making R Approachable • Making Day-to-Day R Tidy • Making R Insights Easy to Leverage • Preparing R for the next generation of data science • Making R Interoperable Future Open Source Work in R
6. How do you get started learning R?
7. Access Understand Communicate Learn R by following the Data Science workflow: Get access to a meaningful dataset Build a visual understanding of the data Share that analysis with someone else
9. Goal: Explore adverse events for different brand name drugs - Adverse events (openFDA) - Drug composition (RxNorm)
10. Access Data Sources: OpenFDA APIs, RxNorm Google BigQuery BigQuery is Google's fully managed, petabyte scale, low cost analytics data warehouse. A public dataset is any dataset that is stored in BigQuery and made available to the general public through the Google Cloud Public Dataset Program. You pay only for the queries that you perform on the data (the first 1 TB per month is free). R package: rOpenHealth/openfda Simple helpers for accessing the OpenFDA API from R. R package: bigrquery The bigrquery package makes it easy to work with data stored in Google BigQuery by allowing you to query BigQuery tables and retrieve metadata about your projects, datasets, tables, and jobs. The dplyr interface lets you treat BigQuery tables as if they are in-memory data frames.
11. Static Visualization: ggplot2 Dataset + Aesthetic Mapping + Layers (Geometry, Faceting, Labels) Cheat to win: ggthemes Export: Save as Image / PDF - Pros: Simple, reproducible workflow - Limitations: Saving and sharing a lot of plots (versioning)
12. R For Data Science
13. Workflow Upgrade: R Markdown Code Chunk Options
14. Workflow Upgrade: R Markdown Bootswatch Themes
15. Interactive Visualization: plotly
16. Interactive Application with Visualization: shiny shiny.rstudio.com
17. Sharing Shiny Applications shinyapps.io Shiny Server RStudio Connect RStudio Team QuickStart VM
18. Choosing the right way to communicate
19. Where do you go for HELP! community.rstudio.com
20. Hadley Wickham Webinar - Thursday 3PM EST https://learning.acm.org/
21. RStudio Webinars - Free & On Demand! resources.rstudio.com - Webinars - Conference talks - Blog posts - Articles
22. Kelly O’Briant RStudio Solutions Engineer Phil Bowsher RStudio Director of Life Sciences kelly@rstudio.com phil@rstudio.com