retailers

SBS2000

Anonymized and distorted data on revenue and cost structure for
 60 retailers. Currency is in thousands of Euros. There are two
 data sets. The <code>SBS2000</code> dataset is equal to the <code>retailers</code>
 data set except that it has a record identifier (called <code>id</code>) column.<ul>
<li>id: A unique identifier (only in SBS2000)</li>
<li>size: Size class (0=undetermined)</li>
<li>incl.prob: Probability of inclusion in the sample</li>
<li>staff: Number of staff</li>
<li>turnover: Amount of turnover</li>
<li>other.rev: Amount of other revenue</li>
<li>total.rev: Total revenue</li>
<li>staff.costs: Number of staff employed</li>
<li>total.costs: Total costs made</li>
<li>profit: Amount of profit</li>
<li>vat: Turnover reported for Value Added Tax</li>
</ul>

Declare data validation rules and data quality indicators;
confront data with them and analyze or visualize the results.
The package supports rules that are per-field, in-record,
cross-record or cross-dataset. Rules can be automatically
analyzed for rule type and connectivity. See also Van der Loo
and De Jonge (2018) <doi:10.1002/9781118897126>,
chapter 6.

retailers: data on Dutch supermarkets

Description

Arguments

Format