Analytics at Scale

Workshopping best practices for big data analytics in epidemiology

Objective

  • Hold weekly workshops lead by team members or invitees.
  • Produce resources such as videos, tutorials and code resources from workshops on this resource page
  • Standardize our analytic workflows.

Focus

  • Best practices for writing robust, reproducible, and readable R code
  • Optimization for big data as our data set grows
  • Tips and tricks for productivity
  • Integration with cloud computing resources and data sources
  • Integrating R and SQL

Past topics

DBI and dbplyr, code snippets

Future workshop topics:

functional programming, renv, GitHub, Docker, pipelines, Style Guides, developing R packages, publishing data products, RStudio Snippets, linter, styler, rshiny, rix, SQL & R, Quarto, Quarto Websites, Quarto Dashboards, plumber APIs, data structures, JSON in R, mermaid diagrams, SQLlite, DuckDB, …

References