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.

Changepoint detection algorithms for R are widespread but have
    different interfaces and reporting conventions. 
    This makes the comparative analysis of results difficult. 
    We solve this problem by providing a tidy, unified interface for several 
    different changepoint detection algorithms. 
    We also provide consistent numerical and graphical reporting leveraging 
    the 'broom' and 'ggplot2' packages.

There is a wide range of R packages created for data visualization, but still, there was no simple and easily accessible way to create clean and transparent charts - up to now. The 'tidycharts' package enables the user to generate charts compliant with International Business Communication Standards ('IBCS').
    It means unified bar widths, colors, chart sizes, etc. Creating homogeneous reports has never been that easy! Additionally, users can apply semantic notation to indicate different data scenarios (plan, budget, forecast). What's more, it is possible to customize the charts by creating a personal color pallet with the possibility of switching to default options after the experiments.
    We wanted the package to be helpful in writing reports, so we also made joining charts in a one, clear image possible.
    All charts are generated in SVG format and can be shown in the 'RStudio' viewer pane or exported to HTML output of 'knitr'/'markdown'.