Calculate common survey data quality indicators for multi-item scales 
             and matrix questions. Currently supports the calculation of
             response style indicators and response distribution indicators.
             For an overview on response quality indicators see Bhaktha N,
             Henning S, Clemens L (2024). 'Characterizing response quality
             in surveys with multi-item scales: A unified framework'
             <https://osf.io/9gs67/>.

Contains three functions that query AuriQ Systems' Essentia Database and return the results in R. 'essQuery' takes a single Essentia command and captures the output in R, where you can save the output to a dataframe or stream it directly into additional analysis. 'read.essentia' takes an Essentia script and captures the output csv data into R, where you can save the output to a dataframe or stream it directly into additional analysis. 'capture.essentia' takes a file containing any number of Essentia commands and captures the output of the specified statements into R dataframes. Essentia can be downloaded for free at http://www.auriq.com/documentation/source/install/index.html.

Eurostat is the statistical office of the European Union and provides high quality statistics for Europe.
             Large set of the data is disseminated through the Eurostat database (<https://ec.europa.eu/eurostat/web/main/data/database>). 
             The tools are using the REST API with the Statistical Data and Metadata eXchange (SDMX) Web Services 
             (<https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access/api-detailed-guidelines/sdmx2-1>) to search and download data from 
             the Eurostat database using the SDMX standard.

A RESTful API wrapper for accessing the main databases of
    Germany's Federal Statistical System. Supports data 
    search functions, credential management, result caching, and handling 
    remote background jobs for large datasets.

Duplicated restaurant data (pre-processed and formatted) for entity resolution. This package contains formatted data from a data set that contains information about different restaurants, with the Zagats portion containing 331 records and the Fodors portion containing 533 records. The following variables are included in the data set: id, name, address, city, phone, type. The data set has a respective gold data set that provides information on which records match based on id.