util_string_is_not_categorical

The function considers the following properties:<ul>
<li>the maximum number of characters (to identify free text fields with
long entries),</li>
<li>the relative frequency of punctuation and space characters per element (to
identify, e.g., JSON or XML elements, which are structured by those
characters),</li>
<li>the relative frequency of elements (categorical variables would have
a low proportion of unique values in comparison to other variables).</li>
</ul>

internal

Data quality assessments guided by a
'data quality framework introduced by Schmidt and colleagues, 2021'
<doi:10.1186/s12874-021-01252-7> target the
data quality dimensions integrity, completeness, consistency, and
accuracy. The scope of applicable functions rests on the
availability of extensive metadata which can be provided in
spreadsheet tables. Either standardized (e.g. as 'html5' reports) or
individually tailored reports can be generated. For an introduction
into the specification of corresponding metadata, please refer to the
'package website'
<https://dataquality.qihs.uni-greifswald.de/Annotation_of_Metadata.html>.

Stephan Struckmann

dataquieR

Data Quality in Epidemiological Research

University Medicine Greifswald 

Elisa Kasbohm

Joany Marino

Elena Salogni

Adrian Richter

Carsten Oliver Schmidt

German Research Foundation (DFG SCHM 2744/3-1, SCHM 2744/9-1, SCHM 2744/3-4) 

National Research Data Infrastructure for Personal Health Data: (NFDI 13/1) 

European Union’s Horizon 2020 programme (euCanSHare, grant agreement No. 825903) 

util_string_is_not_categorical function

<dl><dt>vec</dt>
<dd>a character vector</dd></dl>

Arguments

Utility function for judging whether a character vector does not appear to
be a categorical variable — util_string_is_not_categorical

<dl>

<dt>vec</dt>
<dd>a character vector</dd>

</dl>

Utility function for judging whether a character vector does not appear to
be a categorical variable

util_string_is_not_categorical: Utility function for judging whether a character vector does not appear to be a categorical variable

Description

Usage

Value

Arguments