'UpSet.js' is a re-implementation of 'UpSetR' to create interactive set visualizations for more than three sets.
  This is a 'htmlwidget' wrapper around the 'JavaScript' library 'UpSet.js'.

Creates visualizations of intersecting sets using a novel matrix
    design, along with visualizations of several common set, element and attribute
    related tasks (Conway 2017) <doi:10.1093/bioinformatics/btx364>.

The Upsilon test assesses association among
 categorical variables against the null hypothesis of
 independence (Luo 2021 MS thesis; ProQuest Publication
 No. 28649813). While promoting dominant function patterns,
 it demotes non-dominant function patterns. It is robust
 to low expected count---continuity correction
 like Yates's seems unnecessary. Using a common null
 population following a uniform distribution, contingency
 tables are comparable by statistical significance---not
 the case for most association tests defining a varying
 null population by tensor product of observed marginals.
 Although Pearson's chi-squared test, Fisher's exact test,
 and Woolf's G-test (related to mutual information) are
 useful in some contexts, the Upsilon test appeals to
 ranking association patterns not necessarily following
 same marginal distributions, such as in count data
 from DNA and RNA sequencing---a rapidly expanding frontier
 in modern science.

Core functions necessary for using The Globe and Mail's R data journalism template, 'startr', along with utilities for day-to-day data journalism tasks, such as reading and writing files, producing graphics and cleaning up datasets.

Variance approximations for the 
    Horvitz-Thompson total estimator in Unequal Probability Sampling
    using only first-order inclusion probabilities. 
    See Matei and Tillé (2005) and Haziza, Mecatti and Rao (2008) for details.

'Elasticsearch' is an open-source, distributed, document-based datastore
    (<https://www.elastic.co/products/elasticsearch>).
    It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that
    'API' was not designed for common data science workflows like pulling large batches of
    records and normalizing those documents into a data frame that can be used as a training
    dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch'
    that is explicitly designed to make these data science workflows easy and fun.