Mine metrics on common places on the web through the power of their APIs (application programming interfaces). 
    It also helps make the data in a format that is easily used for a dashboard or other purposes.
    There is an associated dashboard template and tutorials that are underdevelopment that help you  
    fully utilize 'metricminer'.

An implementation of evaluation metrics in R that are commonly
             used in supervised machine learning. It implements metrics for
             regression, time series, binary classification, classification,
             and information retrieval problems. It has zero dependencies and
             a consistent, simple interface for all functions.

Provides an 'htmlwidgets' interface to the
    'MetricsGraphics.js' ('D3'-based) charting library which is geared towards
    displaying time-series data. Chart types include line charts, scatterplots,
    histograms and rudimentary bar charts. Support for laying out multiple charts
    into a grid layout is also provided. All charts are interactive and many
    have an option for line, label and region annotations.

Provides weighted versions of several metrics and performance
    measures used in machine learning, including average unit deviances of
    the Bernoulli, Tweedie, Poisson, and Gamma distributions, see
    Jorgensen B. (1997, ISBN: 978-0412997112).  The package also contains
    a weighted version of generalized R-squared, see e.g. Cohen, J. et al.
    (2002, ISBN: 978-0805822236).  Furthermore, 'dplyr' chains are
    supported.

Calculate different metrics based on aquatic
    macroinvertebrate density data (individuals per square meter) to
    assess water quality (Prat N et al. 2009).

The Washington Metropolitan Area Transit Authority is a
    government agency operating light rail and passenger buses in the
    Washington D.C. area. With a free developer account, access their
    'Metro Transparent Data Sets API' <https://developer.wmata.com/> to
    return data frames of transit data for easy analysis.