Dimensionality reduction (DR) is widely used in many domain for analyzing and visualizing high-dimensional data. 'tidydr' provides uniform output and is compatible with multiple methods, including 'prcomp', 'mds', 'Rtsne'. etc.

Streamline the process of accessing fundamental financial data from the United States Securities and Exchange Commission's ('SEC') Electronic Data Gathering, Analysis, and Retrieval system ('EDGAR') 'API' <https://www.sec.gov/edgar/sec-api-documentation>, transforming it into a tidy, analysis-ready format.

Takes objects of class edsurvey.data.frame and converts them to a data.frame within the calling environment of 'dplyr' and 'ggplot2' functions. Additionally, for plotting with 'ggplot2', users can map aesthetics to subject scales and all plausible values will be used. This package supports student level data; to work with school or teacher level data, see '?EdSurvey::getData'.

Unicodes are not friendly to work with, and not all Unicodes are
    Emoji per se, making obtaining Emoji statistics a difficult task. This
    tool can help your experience of working with Emoji as smooth as possible,
    as it has the 'tidyverse' style.

The 'ESTIMATE' package infers tumor purity from expression data as a 
  function of immune and stromal infiltrate, but requires writing of intermediate 
  files, is un-pipeable, and performs poorly when presented with modern datasets 
  with current gene symbols. 'tidyestimate' a fast, tidy, modern reimagination of
  'ESTIMATE' (2013) <doi:10.1038/ncomms3612>.

Tidying functions built on 'data.table'
    to provide quick and efficient data manipulation with
    minimal overhead.

Helper functions for empirical research in financial
    economics, addressing a variety of topics covered in Scheuch, Voigt,
    and Weiss (2023) <doi:10.1201/b23237>.  The package is designed to
    provide shortcuts for issues extensively discussed in the book,
    facilitating easier application of its concepts. For more information
    and resources related to the book, visit
    <https://www.tidy-finance.org/r/index.html>.