Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.

Assists in finding the most suitable thread count for the various
             'data.table' routines that support parallel processing.

Create tree structures from hierarchical data, and traverse the
    tree in various orders. Aggregate, cumulate, print, plot, convert to and from
    data.frame and more. Useful for decision trees, machine learning, finance,
    conversion from and to JSON, and many other applications.

Validate dataset by columns and rows using convenient predicates inspired by 'assertr' package.
             Generate good looking HTML report or print console output to display in logs of your data processing pipeline.

Makes it easy to engage with the Application Program Interface (API)
    of the 'TCdata360' and 'Govdata360' platforms at <https://tcdata360.worldbank.org/>
    and <https://govdata360.worldbank.org/>, respectively.
    These application program interfaces provide access to over 5000 trade, competitiveness, and governance
    indicator data, metadata, and related information from sources
    both inside and outside the World Bank Group.
    Package functions include easier download of data sets, metadata, and
    related information, as well as searching based on user-inputted query.

Provides a streamlined workflow for cleaning, transforming, filtering, aggregating, and exporting epidemiological line list data. The package is designed for public health surveillance and clinical datasets where each row represents an individual case. It supports common data-wrangling tasks and multi-format data import/export (e.g., 'csv', 'rds', 'xlsx', 'json', 'dbf'). The functions are designed to be combined into a clear and reproducible pipeline while remaining flexible enough for use in standalone data-processing steps. 'data4health' is part of the '4health' toolkit, which integrates health, climate, land-use, and socioeconomic data workflows. More information on the '4health' tools can be found on the HARMONIZE website <https://harmonize-tools.org/toolkits>.