data

97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts

Contributed chapter on use of controlled vocabularies to improve data communication, validation, and munging.

Causal design patterns for data analysts

An informal primer to causal analysis designs and data structures

Generating SQL with {dbplyr} and sqlfluff

Using the tidyverse's expressive data wrangling vocabulary as a preprocessor for elegant SQL scripts

Introducing the {convo} package

An R package for maintaining controlled vocabularies to encode contracts between data producers and consumers

Column Names as Contracts

Using controlled dictionaries for low-touch documentation, validation, and usability of tabular data