README.md

In datacamp/tidymetrics: A Tidy Approach to Dimensional Modeling

tidymetrics

Authors: Ramnath Vaidyanathan, David Robinson

Dimensional modeling done the tidy way!

What the package contains

The "cross by" family of functions, which prepare data to be aggregated in ways useful for dimensional modeling:

• cross_by_periods, which prepares data with a date column to be aggregated by calendar periods (day/week/month), rolling windows, or "X weeks ago"
• cross_by_dimensions, which adds an All level to each segment

Methods for annotating aggregated metrics with useful metadata:

• create_metrics, which gathers a table of metrics into a list of tbl_metric objects and attaches metadata to it
• create_metric_group, which annotates a group of metrics with the same dimensions as a tbl_metric_group

Verbs for working with dimensions in metric tables, including:

• discard_dimensions (and its inverse keep_dimensions), which filters for only the All segment of dimensions and removes those columns
• condense_metric, which retains only observations with one non-All dimension (in order to store a compact version that can still be explored one dimension at a time)

Code of Conduct

Please note that the 'tidymetrics' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

datacamp/tidymetrics documentation built on March 21, 2021, 3:28 a.m.