unnest_report

Unnest an element of the data cleaning report

internal

Cleaning and standardizing tabular data package, tailored
specifically for curating epidemiological data. It streamlines various
data cleaning tasks that are typically expected when working with
datasets in epidemiology. It returns the processed data in the same
format, and generates a comprehensive report detailing the outcomes of
each cleaning task.

Karim Mané

cleanepi

Clean and Standardize Epidemiological Data

Thibaut Jombart

Abdoelnaser Degoot

Bankolé Ahadzie

Nuredin Mohammed

Bubacarr Bah

Hugo Gruson

Pratik R. Gupte

James M. Azam

Joshua W. Lambert

Chris Hartgerink

Andree Valle-Campos

London School of Hygiene and Tropical Medicine, LSHTM 

data.org 

unnest_report function

<dl><dt>report</dt>
<dd>An object of type <code>&lt;list&gt;</code></dd>
<dt>what</dt>
<dd>A <code>&lt;character&gt;</code> with the name of the specific data cleaning
report which would be displayed. The possible values are:<dl>
<dt><code>incorrect_date_sequence</code></dt>
<dd>To display rows with the incorrect date
sequences</dd></dl></dd><dt><code>colnames</code></dt>
<dd>To display the column names before and after
cleaning</dd><dt><code>converted_into_numeric</code></dt>
<dd>To display the names of the columns that
that have been converted into numeric</dd><dt><code>date_standardization</code></dt>
<dd>To display rows in the cleaned data with
date values that are outside of the specified time frame, and rows
with date values that comply with multiple formats</dd><dt><code>misspelled_values</code></dt>
<dd>To display the detected misspelled values</dd><dt><code>removed_duplicates</code></dt>
<dd>To display the duplicated rows that have
been removed</dd><dt><code>found_duplicates</code></dt>
<dd>To display the duplicated rows</dd><dt><code>constant_data</code></dt>
<dd>To display the constant data i.e. constant
columns, empty rows and columns</dd><dt><code>missing_values_replaced_at</code></dt>
<dd>To display the names of the columns
where the missing value strings have been replaced with NA</dd><dt><code>incorrect_subject_id</code></dt>
<dd>To display the missing, duplicated and
invalid subject subject IDs</dd>
</dl>
<dt>...</dt>
<dd>Any other extra argument</dd>

Arguments

Unnest an element of the data cleaning report — unnest_report

<dl>

<dt>report</dt>
<dd>An object of type <code>&lt;list&gt;</code></dd>


<dt>what</dt>
<dd>A <code>&lt;character&gt;</code> with the name of the specific data cleaning
report which would be displayed. The possible values are:<dl>
<dt><code>incorrect_date_sequence</code></dt>
<dd>To display rows with the incorrect date
sequences</dd>

<dt><code>colnames</code></dt>
<dd>To display the column names before and after
cleaning</dd>

<dt><code>converted_into_numeric</code></dt>
<dd>To display the names of the columns that
that have been converted into numeric</dd>

<dt><code>date_standardization</code></dt>
<dd>To display rows in the cleaned data with
date values that are outside of the specified time frame, and rows
with date values that comply with multiple formats</dd>

<dt><code>misspelled_values</code></dt>
<dd>To display the detected misspelled values</dd>

<dt><code>removed_duplicates</code></dt>
<dd>To display the duplicated rows that have
been removed</dd>

<dt><code>found_duplicates</code></dt>
<dd>To display the duplicated rows</dd>

<dt><code>constant_data</code></dt>
<dd>To display the constant data i.e. constant
columns, empty rows and columns</dd>

<dt><code>missing_values_replaced_at</code></dt>
<dd>To display the names of the columns
where the missing value strings have been replaced with NA</dd>

<dt><code>incorrect_subject_id</code></dt>
<dd>To display the missing, duplicated and
invalid subject subject IDs</dd>


</dl></dd>


<dt>...</dt>
<dd>Any other extra argument</dd>

</dl>

Unnest an element of the data cleaning report

unnest_report: Unnest an element of the data cleaning report

Description

Usage

Value

Arguments