Compute arbitrary non-parametric bootstrap statistics on data in
    tidy data frames.

Create additional rows and columns on broom::tidy() output to allow for easier control on categorical parameter estimates.

Provides users a quick exploratory dive into common
    visualizations without writing a single line of code given the users
    data follows the Analysis Data Model (ADaM) standards put forth by the
    Clinical Data Interchange Standards Consortium (CDISC)
    <https://www.cdisc.org>. Prominent modules/ features of the
    application are the Table Generator, Population Explorer, and the
    Individual Explorer. The Table Generator allows users to drag and drop
    variables and desired statistics (frequencies, means, ANOVA, t-test,
    and other summary statistics) into bins that automagically create
    stunning tables with validated information. The Population Explorer
    offers various plots to visualize general trends in the population
    from various vantage points. Plot modules currently include scatter
    plot, spaghetti plot, box plot, histogram, means plot, and bar plot.
    Each plot type allows the user to plot uploaded variables against one
    another, and dissect the population by filtering out certain subjects.
    Last, the Individual Explorer establishes a cohesive patient
    narrative, allowing the user to interact with patient metrics (params)
    by visit or plotting important patient events on a timeline. All
    modules allow for concise filtering & downloading bulk outputs into
    html or pdf formats to save for later.

An integrated R interface to several United States Census Bureau
    APIs (<https://www.census.gov/data/developers/data-sets.html>) and the US Census Bureau's
    geographic boundary files. Allows R users to return Census and ACS data as
    tidyverse-ready data frames, and optionally returns a list-column with feature geometry for mapping
    and spatial analysis.

Census and administrative data in South Korea are a basic source of
    quantitative and mixed-methods research for social and urban scientists.
    This package provides a 'sf' (Pebesma et al., 2024 <doi:10.32614/CRAN.package.sf>) 
    based standardized workflow based on direct open API access to the major census and
    administrative data sources and pre-generated files in South Korea.