Contains data organized by topics: categorical data, regression model,
            means comparisons, independent and repeated measures ANOVA, mixed ANOVA and ANCOVA.
            The package code is under GPL-2; the data sets are covered by the terms in
            the 'LICENSE.note' file (the author's data sets under CC0 1.0, and the
            'heartdisease' data under CC BY 4.0, see the 'heartdisease' help page).

For working with the 'DataRobot' predictive modeling platform's API <https://www.datarobot.com/>.

The Datasaurus Dozen is a set of datasets with the same
    summary statistics. They retain the same summary statistics despite
    having radically different distributions.  The datasets represent a
    larger and quirkier object lesson that is typically taught via
    Anscombe's Quartet (available in the 'datasets' package). Anscombe's
    Quartet contains four very different distributions with the same
    summary statistics and as such highlights the value of visualisation
    in understanding data, over and above summary statistics. As well as
    being an engaging variant on the Quartet, the data is generated in a
    novel way. The simulated annealing process used to derive datasets
    from the original Datasaurus is detailed in "Same Stats, Different
    Graphs: Generating Datasets with Varied Appearance and Identical
    Statistics through Simulated Annealing" <doi:10.1145/3025453.3025912>.

Provides benchmark datasets and foundational tools for Symbolic Data Analysis (SDA). The package includes functions for constructing symbolic data objects from classical data, converting among different interval-valued data formats, managing interval-valued, histogram-valued, modal-valued, and multi-valued data, and performing basic descriptive statistics. It is designed to support teaching, methodological research, and the development of SDA techniques.

Download and import open Swiss economic time series from
    'dataseries.org' <https://dataseries.org>, a comprehensive and
    up-to-date collection of public data from Switzerland. Series are
    retrieved through the public 'dataseries.org' API and imported as a
    'data.frame' or 'ts' object.