An exploration of how data producers and consumers can use column names as interfaces, configuations, and code to improve data quality and discoverability. The second half of the talk demonstrates how to implement these ideas with my dbtplyr dbt package.
dbtplyr
An overview of basic research design patterns in causal inference, modern extensions, and data management strategies to set up a causal inference initiative for success
An overview of the unique design challenges and opportunities when building R packages for use inside of a single organization versus open-source. By using the jobs-to-be-done framework, this talk explores how internal packages can be better teammates by following specific design patterns for API design, testing, documentaiton, and more.
How and why to refactor one time analyses in RMarkdown into sustainable data products
